Datasets:
image
imagewidth (px) 720
720
| wrist
imagewidth (px) 960
960
| conversations
dict | annotation
stringclasses 0
values |
|---|---|---|---|
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[127, 59], [119, 65], [116, 81], [112, 96], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĭ©, áĢı, ëĸ°, áģ¼, ê²´, ॱ, ðŁİij], [á¸ĥ, à°³, áĶŃ, á¸ĥ, ðĿĵķ, Ýĵ, ðŁİij], [䶵, ðĿĵŀ, ìŁĻ, 辰, ÆĪ, íĵŃ, ðŁİij], [áłĦ, ðIJ°¼, ë¯ij, ì¼ĩ, áļĮ, ⤦, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_116><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[127, 59], [118, 67], [116, 83], [112, 96], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¸ĥ, à°³, áĶŃ, á¸ĥ, ðĿĵķ, Ýĵ, ðŁİij], [䶵, ðĿĵŀ, ìŁĻ, 辰, ÆĪ, íĵŃ, ðŁİij], [áłĦ, ðIJ°¼, ë¯ij, ì¼ĩ, áļĮ, ⤦, ðŁİij], [âĶŀ, ðĿĵ°, ëĹį, áIJ§, áļĮ, á©ĭ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_30><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[125, 58], [116, 68], [116, 83], [112, 96], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[䶵, ðĿĵŀ, ìŁĻ, 辰, ÆĪ, íĵŃ, ðŁİij], [áłĦ, ðIJ°¼, ë¯ij, ì¼ĩ, áļĮ, ⤦, ðŁİij], [âĶŀ, ðĿĵ°, ëĹį, áIJ§, áļĮ, á©ĭ, ðŁİij], [ê²Ļ, Ȳ, ë¯ij, áĴĮ, ÆĪ, á¿IJ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[125, 60], [114, 70], [116, 85], [112, 98], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, ðIJ°¼, ë¯ij, ì¼ĩ, áļĮ, ⤦, ðŁİij], [âĶŀ, ðĿĵ°, ëĹį, áIJ§, áļĮ, á©ĭ, ðŁİij], [ê²Ļ, Ȳ, ë¯ij, áĴĮ, ÆĪ, á¿IJ, ðŁİij], [ðĸ¥, ðĿĵŀ, ëĶī, ìĨĬ, àłĮ, Éĺ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[123, 61], [114, 70], [116, 85], [112, 98], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĶŀ, ðĿĵ°, ëĹį, áIJ§, áļĮ, á©ĭ, ðŁİij], [ê²Ļ, Ȳ, ë¯ij, áĴĮ, ÆĪ, á¿IJ, ðŁİij], [ðĸ¥, ðĿĵŀ, ëĶī, ìĨĬ, àłĮ, Éĺ, ðŁİij], [ðĿĺļ, ï¤Ĩ, íĬŃ, á¨ģ, ðĿĻ¼, ï®ı, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[123, 63], [114, 71], [116, 88], [112, 98], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²Ļ, Ȳ, ë¯ij, áĴĮ, ÆĪ, á¿IJ, ðŁİij], [ðĸ¥, ðĿĵŀ, ëĶī, ìĨĬ, àłĮ, Éĺ, ðŁİij], [ðĿĺļ, ï¤Ĩ, íĬŃ, á¨ģ, ðĿĻ¼, ï®ı, ðŁİij], [íĵ¶, ï¨Ĥ, á¶ı, íĵĸ, ê³Ĥ, ìĿ©, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 64], [114, 73], [116, 88], [112, 98], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥, ðĿĵŀ, ëĶī, ìĨĬ, àłĮ, Éĺ, ðŁİij], [ðĿĺļ, ï¤Ĩ, íĬŃ, á¨ģ, ðĿĻ¼, ï®ı, ðŁİij], [íĵ¶, ï¨Ĥ, á¶ı, íĵĸ, ê³Ĥ, ìĿ©, ðŁİij], [ðĿķį, á¿ļ, ᳬ, à°³, ðĸ¥¨, 㳬, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[119, 65], [114, 76], [114, 89], [112, 100], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĺļ, ï¤Ĩ, íĬŃ, á¨ģ, ðĿĻ¼, ï®ı, ðŁİij], [íĵ¶, ï¨Ĥ, á¶ı, íĵĸ, ê³Ĥ, ìĿ©, ðŁİij], [ðĿķį, á¿ļ, ᳬ, à°³, ðĸ¥¨, 㳬, ðŁİij], [áĶĬ, ì»ģ, âļĤ, âļ£, ê³Ĥ, áĮĥ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[118, 67], [114, 76], [114, 89], [112, 100], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¶, ï¨Ĥ, á¶ı, íĵĸ, ê³Ĥ, ìĿ©, ðŁİij], [ðĿķį, á¿ļ, ᳬ, à°³, ðĸ¥¨, 㳬, ðŁİij], [áĶĬ, ì»ģ, âļĤ, âļ£, ê³Ĥ, áĮĥ, ðŁİij], [áĢı, ëĸ°, áĮ½, íĵ», âĶŀ, áĮĥ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[116, 68], [114, 78], [114, 91], [112, 100], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿķį, á¿ļ, ᳬ, à°³, ðĸ¥¨, 㳬, ðŁİij], [áĶĬ, ì»ģ, âļĤ, âļ£, ê³Ĥ, áĮĥ, ðŁİij], [áĢı, ëĸ°, áĮ½, íĵ», âĶŀ, áĮĥ, ðŁİij], [Ýĵ, âļĹ, áĪ¨, íĵ¬, à¤ij, ë±ĭ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 70], [116, 81], [114, 91], [112, 100], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĶĬ, ì»ģ, âļĤ, âļ£, ê³Ĥ, áĮĥ, ðŁİij], [áĢı, ëĸ°, áĮ½, íĵ», âĶŀ, áĮĥ, ðŁİij], [Ýĵ, âļĹ, áĪ¨, íĵ¬, à¤ij, ë±ĭ, ðŁİij], [Ýĵ, á¿ļ, à½ħ, âĶŀ, ʶ, âļĹ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 71], [116, 83], [114, 93], [112, 101], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĢı, ëĸ°, áĮ½, íĵ», âĶŀ, áĮĥ, ðŁİij], [Ýĵ, âļĹ, áĪ¨, íĵ¬, à¤ij, ë±ĭ, ðŁİij], [Ýĵ, á¿ļ, à½ħ, âĶŀ, ʶ, âļĹ, ðŁİij], [à°³, á¿ļ, à½ħ, áĶħ, à¬ī, áĮ½, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 73], [116, 83], [114, 93], [112, 101], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ýĵ, âļĹ, áĪ¨, íĵ¬, à¤ij, ë±ĭ, ðŁİij], [Ýĵ, á¿ļ, à½ħ, âĶŀ, ʶ, âļĹ, ðŁİij], [à°³, á¿ļ, à½ħ, áĶħ, à¬ī, áĮ½, ðŁİij], [Ýĵ, á¾Ķ, Õĥ, à°³, ðIJ¤Ķ, áĮ½, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_84><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_25><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 76], [116, 85], [114, 94], [112, 101], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ýĵ, á¿ļ, à½ħ, âĶŀ, ʶ, âļĹ, ðŁİij], [à°³, á¿ļ, à½ħ, áĶħ, à¬ī, áĮ½, ðŁİij], [Ýĵ, á¾Ķ, Õĥ, à°³, ðIJ¤Ķ, áĮ½, ðŁİij], [à°³, á¾Ķ, Êĵ, ê²´, Ýĵ, 맳, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_84><DEPTH_84><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_25><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 78], [116, 88], [114, 94], [112, 101], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à°³, á¿ļ, à½ħ, áĶħ, à¬ī, áĮ½, ðŁİij], [Ýĵ, á¾Ķ, Õĥ, à°³, ðIJ¤Ķ, áĮ½, ðŁİij], [à°³, á¾Ķ, Êĵ, ê²´, Ýĵ, 맳, ðŁİij], [áĶĬ, á¿ļ, Êĵ, ḻ, âļ£, Éĺ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_84><DEPTH_30><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_25><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[116, 81], [114, 89], [112, 96], [112, 102], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ýĵ, á¾Ķ, Õĥ, à°³, ðIJ¤Ķ, áĮ½, ðŁİij], [à°³, á¾Ķ, Êĵ, ê²´, Ýĵ, 맳, ðŁİij], [áĶĬ, á¿ļ, Êĵ, ḻ, âļ£, Éĺ, ðŁİij], [ãĪª, 맳, Êĵ, Ôij, íĵ¬, ëĶī, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_84><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[116, 83], [114, 89], [112, 96], [112, 102], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à°³, á¾Ķ, Êĵ, ê²´, Ýĵ, 맳, ðŁİij], [áĶĬ, á¿ļ, Êĵ, ḻ, âļ£, Éĺ, ðŁİij], [ãĪª, 맳, Êĵ, Ôij, íĵ¬, ëĶī, ðŁİij], [ãĪª, ë¤Ĥ, à½ħ, ìĨĬ, ðĸ¥, áĮĥ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_25><DEPTH_75><DEPTH_75><DEPTH_103><DEPTH_30><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_8><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[116, 85], [114, 91], [112, 98], [112, 102], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĶĬ, á¿ļ, Êĵ, ḻ, âļ£, Éĺ, ðŁİij], [ãĪª, 맳, Êĵ, Ôij, íĵ¬, ëĶī, ðŁİij], [ãĪª, ë¤Ĥ, à½ħ, ìĨĬ, ðĸ¥, áĮĥ, ðŁİij], [áIJ§, ë±IJ, á¾Ķ, ãĪª, ḻ, âļĹ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_75><DEPTH_75><DEPTH_103><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[116, 88], [114, 93], [112, 98], [112, 102], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, 맳, Êĵ, Ôij, íĵ¬, ëĶī, ðŁİij], [ãĪª, ë¤Ĥ, à½ħ, ìĨĬ, ðĸ¥, áĮĥ, ðŁİij], [áIJ§, ë±IJ, á¾Ķ, ãĪª, ḻ, âļĹ, ðŁİij], [áĮĶ, ë±ĭ, âļĹ, à°³, ï¤Ĩ, ì³ħ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_116><DEPTH_75><DEPTH_101><DEPTH_103><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 89], [114, 94], [112, 100], [112, 103], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, ë¤Ĥ, à½ħ, ìĨĬ, ðĸ¥, áĮĥ, ðŁİij], [áIJ§, ë±IJ, á¾Ķ, ãĪª, ḻ, âļĹ, ðŁİij], [áĮĶ, ë±ĭ, âļĹ, à°³, ï¤Ĩ, ì³ħ, ðŁİij], [íĵ®, ᳬ, áłĤ, âĺµ, áĢı, áĪ¾, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_101><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 91], [114, 94], [112, 100], [112, 103], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áIJ§, ë±IJ, á¾Ķ, ãĪª, ḻ, âļĹ, ðŁİij], [áĮĶ, ë±ĭ, âļĹ, à°³, ï¤Ĩ, ì³ħ, ðŁİij], [íĵ®, ᳬ, áłĤ, âĺµ, áĢı, áĪ¾, ðŁİij], [ê³Ĥ, á¾Ķ, áłĤ, ê²Ļ, 䶵, íĬŃ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 93], [112, 96], [112, 101], [112, 103], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĶ, ë±ĭ, âļĹ, à°³, ï¤Ĩ, ì³ħ, ðŁİij], [íĵ®, ᳬ, áłĤ, âĺµ, áĢı, áĪ¾, ðŁİij], [ê³Ĥ, á¾Ķ, áłĤ, ê²Ļ, 䶵, íĬŃ, ðŁİij], [à¬ī, ë±IJ, âļĤ, áĶħ, ï¨Ĥ, íĵŃ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_84><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 94], [112, 98], [112, 101], [112, 103], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ®, ᳬ, áłĤ, âĺµ, áĢı, áĪ¾, ðŁİij], [ê³Ĥ, á¾Ķ, áłĤ, ê²Ļ, 䶵, íĬŃ, ðŁİij], [à¬ī, ë±IJ, âļĤ, áĶħ, ï¨Ĥ, íĵŃ, ðŁİij], [à²Ł, á¿ļ, á¾Ķ, 臘, ðŁħ¢, íĽľ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[112, 96], [112, 100], [112, 102], [112, 103], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê³Ĥ, á¾Ķ, áłĤ, ê²Ļ, 䶵, íĬŃ, ðŁİij], [à¬ī, ë±IJ, âļĤ, áĶħ, ï¨Ĥ, íĵŃ, ðŁİij], [à²Ł, á¿ļ, á¾Ķ, 臘, ðŁħ¢, íĽľ, ðŁİij], [Ýĵ, íĵĸ, ìĽ¢, áĶĬ, ï¨Ĥ, ðŁıĩ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[112, 98], [112, 100], [112, 102], [112, 103], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à¬ī, ë±IJ, âļĤ, áĶħ, ï¨Ĥ, íĵŃ, ðŁİij], [à²Ł, á¿ļ, á¾Ķ, 臘, ðŁħ¢, íĽľ, ðŁİij], [Ýĵ, íĵĸ, ìĽ¢, áĶĬ, ï¨Ĥ, ðŁıĩ, ðŁİij], [à²Ł, íĽľ, ìľ¾, áĶĬ, áģ¼, íĽľ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[112, 100], [112, 101], [112, 103], [112, 103], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à²Ł, á¿ļ, á¾Ķ, 臘, ðŁħ¢, íĽľ, ðŁİij], [Ýĵ, íĵĸ, ìĽ¢, áĶĬ, ï¨Ĥ, ðŁıĩ, ðŁİij], [à²Ł, íĽľ, ìľ¾, áĶĬ, áģ¼, íĽľ, ðŁİij], [áĭ©, ï¤ħ, ìĽ¢, áłĦ, á¨ģ, íģ», ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[112, 101], [112, 102], [112, 103], [112, 103], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ýĵ, íĵĸ, ìĽ¢, áĶĬ, ï¨Ĥ, ðŁıĩ, ðŁİij], [à²Ł, íĽľ, ìľ¾, áĶĬ, áģ¼, íĽľ, ðŁİij], [áĭ©, ï¤ħ, ìĽ¢, áłĦ, á¨ģ, íģ», ðŁİij], [áģ¼, ï¨Ĥ, íģ», áĮĦ, áĶĬ, íĵŃ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[112, 102], [112, 103], [112, 103], [112, 104], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à²Ł, íĽľ, ìľ¾, áĶĬ, áģ¼, íĽľ, ðŁİij], [áĭ©, ï¤ħ, ìĽ¢, áłĦ, á¨ģ, íģ», ðŁİij], [áģ¼, ï¨Ĥ, íģ», áĮĦ, áĶĬ, íĵŃ, ðŁİij], [ðŁıĩ, à¬ī, ï¤Ĩ, ðIJ°¼, ॱ, ðŁħ¢, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[112, 103], [112, 103], [112, 104], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĭ©, ï¤ħ, ìĽ¢, áłĦ, á¨ģ, íģ», ðŁİij], [áģ¼, ï¨Ĥ, íģ», áĮĦ, áĶĬ, íĵŃ, ðŁİij], [ðŁıĩ, à¬ī, ï¤Ĩ, ðIJ°¼, ॱ, ðŁħ¢, Ý¥], [ðĿĻľ, Ôij, ï¤Ĩ, ʶ, à¬ī, ðĿĻľ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[112, 103], [112, 104], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áģ¼, ï¨Ĥ, íģ», áĮĦ, áĶĬ, íĵŃ, ðŁİij], [ðŁıĩ, à¬ī, ï¤Ĩ, ðIJ°¼, ॱ, ðŁħ¢, Ý¥], [ðĿĻľ, Ôij, ï¤Ĩ, ʶ, à¬ī, ðĿĻľ, Ý¥], [ðĿĵŀ, à²Ł, ðĿĻľ, íĽľ, ðŁħ¢, ÔĪ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[112, 104], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁıĩ, à¬ī, ï¤Ĩ, ðIJ°¼, ॱ, ðŁħ¢, Ý¥], [ðĿĻľ, Ôij, ï¤Ĩ, ʶ, à¬ī, ðĿĻľ, Ý¥], [ðĿĵŀ, à²Ł, ðĿĻľ, íĽľ, ðŁħ¢, ÔĪ, Ý¥], [ï¤Ĩ, 䶵, áĬĴ, áĨº, ìĽ¢, áĮĦ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻľ, Ôij, ï¤Ĩ, ʶ, à¬ī, ðĿĻľ, Ý¥], [ðĿĵŀ, à²Ł, ðĿĻľ, íĽľ, ðŁħ¢, ÔĪ, Ý¥], [ï¤Ĩ, 䶵, áĬĴ, áĨº, ìĽ¢, áĮĦ, Ý¥], [ì»ģ, ïŃ², â²¢, ëĹį, áłĤ, ãĪª, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[112, 102], [118, 89], [123, 81], [121, 70], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵŀ, à²Ł, ðĿĻľ, íĽľ, ðŁħ¢, ÔĪ, Ý¥], [ï¤Ĩ, 䶵, áĬĴ, áĨº, ìĽ¢, áĮĦ, Ý¥], [ì»ģ, ïŃ², â²¢, ëĹį, áłĤ, ãĪª, Ý¥], [ì»ģ, ðĸ¥¨, ê³Ĥ, âĦ¬, áĪ¨, ê³Ĥ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 101], [118, 87], [123, 79], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¤Ĩ, 䶵, áĬĴ, áĨº, ìĽ¢, áĮĦ, Ý¥], [ì»ģ, ïŃ², â²¢, ëĹį, áłĤ, ãĪª, Ý¥], [ì»ģ, ðĸ¥¨, ê³Ĥ, âĦ¬, áĪ¨, ê³Ĥ, Ý¥], [ï¤ħ, íĵ¶, âĺµ, ìĭ², á¶ı, âĺµ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 99], [118, 87], [123, 79], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ì»ģ, ïŃ², â²¢, ëĹį, áłĤ, ãĪª, Ý¥], [ì»ģ, ðĸ¥¨, ê³Ĥ, âĦ¬, áĪ¨, ê³Ĥ, Ý¥], [ï¤ħ, íĵ¶, âĺµ, ìĭ², á¶ı, âĺµ, Ý¥], [ðĿĵ°, á¸ĥ, áĢı, ᳬ, íĵĸ, áģ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[116, 96], [119, 85], [123, 76], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ì»ģ, ðĸ¥¨, ê³Ĥ, âĦ¬, áĪ¨, ê³Ĥ, Ý¥], [ï¤ħ, íĵ¶, âĺµ, ìĭ², á¶ı, âĺµ, Ý¥], [ðĿĵ°, á¸ĥ, áĢı, ᳬ, íĵĸ, áģ¼, Ý¥], [ðĿĻľ, áĬĴ, ʶ, íĥĻ, ðĿĵŀ, à¬ī, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[116, 92], [119, 84], [123, 76], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¤ħ, íĵ¶, âĺµ, ìĭ², á¶ı, âĺµ, Ý¥], [ðĿĵ°, á¸ĥ, áĢı, ᳬ, íĵĸ, áģ¼, Ý¥], [ðĿĻľ, áĬĴ, ʶ, íĥĻ, ðĿĵŀ, à¬ī, Ý¥], [ìĽ¢, áĴĮ, Ýĵ, ï¦ĥ, ï¤ħ, áłĦ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_116><DEPTH_101><DEPTH_101><DEPTH_103><DEPTH_30><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[118, 89], [121, 82], [123, 74], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ°, á¸ĥ, áĢı, ᳬ, íĵĸ, áģ¼, Ý¥], [ðĿĻľ, áĬĴ, ʶ, íĥĻ, ðĿĵŀ, à¬ī, Ý¥], [ìĽ¢, áĴĮ, Ýĵ, ï¦ĥ, ï¤ħ, áłĦ, Ý¥], [íģ», áī¨, ðĿĻľ, ðĿĻľ, ðĿĵŀ, áĬĴ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_75><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[118, 87], [121, 82], [123, 74], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻľ, áĬĴ, ʶ, íĥĻ, ðĿĵŀ, à¬ī, Ý¥], [ìĽ¢, áĴĮ, Ýĵ, ï¦ĥ, ï¤ħ, áłĦ, Ý¥], [íģ», áī¨, ðĿĻľ, ðĿĻľ, ðĿĵŀ, áĬĴ, Ý¥], [ï¤ħ, áĬĴ, ðŁıĩ, ï¦ĥ, ðĿĵŀ, à²Ł, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_75><DEPTH_75><DEPTH_103><DEPTH_30><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[119, 85], [123, 81], [121, 72], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìĽ¢, áĴĮ, Ýĵ, ï¦ĥ, ï¤ħ, áłĦ, Ý¥], [íģ», áī¨, ðĿĻľ, ðĿĻľ, ðĿĵŀ, áĬĴ, Ý¥], [ï¤ħ, áĬĴ, ðŁıĩ, ï¦ĥ, ðĿĵŀ, à²Ł, Ý¥], [ðĿĵŀ, âĺµ, áĭ©, á©ĭ, íķ±, áĮĶ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_25><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_75><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[119, 84], [123, 79], [121, 72], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íģ», áī¨, ðĿĻľ, ðĿĻľ, ðĿĵŀ, áĬĴ, Ý¥], [ï¤ħ, áĬĴ, ðŁıĩ, ï¦ĥ, ðĿĵŀ, à²Ł, Ý¥], [ðĿĵŀ, âĺµ, áĭ©, á©ĭ, íķ±, áĮĶ, Ý¥], [ʶ, ãĪª, áIJ§, âļĤ, Ýĵ, áĬĴ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_25><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_75><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 82], [123, 76], [121, 70], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¤ħ, áĬĴ, ðŁıĩ, ï¦ĥ, ðĿĵŀ, à²Ł, Ý¥], [ðĿĵŀ, âĺµ, áĭ©, á©ĭ, íķ±, áĮĶ, Ý¥], [ʶ, ãĪª, áIJ§, âļĤ, Ýĵ, áĬĴ, Ý¥], [䶵, áĶħ, à²Ł, ðĿĵ¬, âĨ¤, áģ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_84><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[123, 81], [123, 76], [121, 70], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵŀ, âĺµ, áĭ©, á©ĭ, íķ±, áĮĶ, Ý¥], [ʶ, ãĪª, áIJ§, âļĤ, Ýĵ, áĬĴ, Ý¥], [䶵, áĶħ, à²Ł, ðĿĵ¬, âĨ¤, áģ¼, Ý¥], [롼, áIJ§, áģ¼, ðĵı§, â°IJ, ï¥ł, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_84><DEPTH_30><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[123, 79], [123, 74], [121, 68], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ʶ, ãĪª, áIJ§, âļĤ, Ýĵ, áĬĴ, Ý¥], [䶵, áĶħ, à²Ł, ðĿĵ¬, âĨ¤, áģ¼, Ý¥], [롼, áIJ§, áģ¼, ðĵı§, â°IJ, ï¥ł, Ý¥], [áĭ©, áIJ§, áī¨, âĽı, ðĿĵ¬, ÆĪ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_103><DEPTH_84><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[123, 76], [121, 72], [121, 68], [121, 68], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[䶵, áĶħ, à²Ł, ðĿĵ¬, âĨ¤, áģ¼, Ý¥], [롼, áIJ§, áģ¼, ðĵı§, â°IJ, ï¥ł, Ý¥], [áĭ©, áIJ§, áī¨, âĽı, ðĿĵ¬, ÆĪ, Ý¥], [à¬ī, à°µ, ÔĪ, áĽIJ, íĭį, ⣰, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_84><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_8><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[123, 74], [121, 70], [121, 68], [121, 67], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[롼, áIJ§, áģ¼, ðĵı§, â°IJ, ï¥ł, Ý¥], [áĭ©, áIJ§, áī¨, âĽı, ðĿĵ¬, ÆĪ, Ý¥], [à¬ī, à°µ, ÔĪ, áĽIJ, íĭį, ⣰, Ý¥], [à²Ł, ðĿļģ, íĽľ, ãĪª, ðĿķ±, ðŁħħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 72], [121, 70], [121, 68], [121, 67], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĭ©, áIJ§, áī¨, âĽı, ðĿĵ¬, ÆĪ, Ý¥], [à¬ī, à°µ, ÔĪ, áĽIJ, íĭį, ⣰, Ý¥], [à²Ł, ðĿļģ, íĽľ, ãĪª, ðĿķ±, ðŁħħ, Ý¥], [áī¨, Ôij, íĵĸ, áĬĴ, ðĿĻ°, á¸Ĭ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 70], [121, 68], [121, 68], [121, 67], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à¬ī, à°µ, ÔĪ, áĽIJ, íĭį, ⣰, Ý¥], [à²Ł, ðĿļģ, íĽľ, ãĪª, ðĿķ±, ðŁħħ, Ý¥], [áī¨, Ôij, íĵĸ, áĬĴ, ðĿĻ°, á¸Ĭ, Ý¥], [áĬĴ, áĬĴ, ï¤ħ, ðŁıĩ, ðĿĵķ, áļĮ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 68], [121, 68], [121, 68], [121, 67], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à²Ł, ðĿļģ, íĽľ, ãĪª, ðĿķ±, ðŁħħ, Ý¥], [áī¨, Ôij, íĵĸ, áĬĴ, ðĿĻ°, á¸Ĭ, Ý¥], [áĬĴ, áĬĴ, ï¤ħ, ðŁıĩ, ðĿĵķ, áļĮ, Ý¥], [à²Ł, áĭ©, ï¤ħ, ï¤Ĩ, ê²´, 臘, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 68], [121, 68], [121, 67], [121, 65], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áī¨, Ôij, íĵĸ, áĬĴ, ðĿĻ°, á¸Ĭ, Ý¥], [áĬĴ, áĬĴ, ï¤ħ, ðŁıĩ, ðĿĵķ, áļĮ, Ý¥], [à²Ł, áĭ©, ï¤ħ, ï¤Ĩ, ê²´, 臘, Ý¥], [áģ¼, à°³, íģ», Ȳ, ãĪª, áĮĶ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_30><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 68], [121, 67], [121, 65], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĬĴ, áĬĴ, ï¤ħ, ðŁıĩ, ðĿĵķ, áļĮ, Ý¥], [à²Ł, áĭ©, ï¤ħ, ï¤Ĩ, ê²´, 臘, Ý¥], [áģ¼, à°³, íģ», Ȳ, ãĪª, áĮĶ, Ý¥], [ÔĪ, áIJ§, íķ±, ðIJ°¼, áĴĮ, á¸ĥ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 67], [121, 65], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à²Ł, áĭ©, ï¤ħ, ï¤Ĩ, ê²´, 臘, Ý¥], [áģ¼, à°³, íģ», Ȳ, ãĪª, áĮĶ, Ý¥], [ÔĪ, áIJ§, íķ±, ðIJ°¼, áĴĮ, á¸ĥ, Ý¥], [Ȳ, áIJ§, ï¨Ĥ, ï¦ĥ, áģ¼, á¨ģ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_30><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 65], [121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áģ¼, à°³, íģ», Ȳ, ãĪª, áĮĶ, Ý¥], [ÔĪ, áIJ§, íķ±, ðIJ°¼, áĴĮ, á¸ĥ, Ý¥], [Ȳ, áIJ§, ï¨Ĥ, ï¦ĥ, áģ¼, á¨ģ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 64]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ÔĪ, áIJ§, íķ±, ðIJ°¼, áĴĮ, á¸ĥ, Ý¥], [Ȳ, áIJ§, ï¨Ĥ, ï¦ĥ, áģ¼, á¨ģ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[127, 59], [119, 66], [116, 81], [112, 97], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĭ©, áĢı, â¡¢, áĬĴ, 롼, ॱ, ðŁİij], [âĶŀ, à¤ij, áīIJ, âĺµ, ðĿĵ¾, ʶ, ðŁİij], [ãĪª, ðIJ°¼, ìĿ©, ï¥ł, àłĮ, ì»ģ, ðŁİij], [áłĦ, ðIJ°¼, ë¡ij, íĭį, áĽIJ, â¡¢, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[127, 58], [118, 67], [116, 83], [112, 97], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĶŀ, à¤ij, áīIJ, âĺµ, ðĿĵ¾, ʶ, ðŁİij], [ãĪª, ðIJ°¼, ìĿ©, ï¥ł, àłĮ, ì»ģ, ðŁİij], [áłĦ, ðIJ°¼, ë¡ij, íĭį, áĽIJ, â¡¢, ðŁİij], [âĺµ, ðĿļģ, ëĹį, à²Ł, áĻ³, ᨸ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_30><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_116><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[125, 58], [116, 68], [116, 83], [112, 97], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, ðIJ°¼, ìĿ©, ï¥ł, àłĮ, ì»ģ, ðŁİij], [áłĦ, ðIJ°¼, ë¡ij, íĭį, áĽIJ, â¡¢, ðŁİij], [âĺµ, ðĿļģ, ëĹį, à²Ł, áĻ³, ᨸ, ðŁİij], [롼, Ȳ, ë¡ij, âĶŀ, àłĮ, á¿IJ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_116><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[125, 60], [114, 70], [116, 86], [112, 98], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, ðIJ°¼, ë¡ij, íĭį, áĽIJ, â¡¢, ðŁİij], [âĺµ, ðĿļģ, ëĹį, à²Ł, áĻ³, ᨸ, ðŁİij], [롼, Ȳ, ë¡ij, âĶŀ, àłĮ, á¿IJ, ðŁİij], [ðĿĵ¾, ðIJ¤Ķ, ëĹį, ê³Ĥ, áļĮ, íķ®, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[123, 62], [114, 70], [116, 86], [112, 98], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĺµ, ðĿļģ, ëĹį, à²Ł, áĻ³, ᨸ, ðŁİij], [롼, Ȳ, ë¡ij, âĶŀ, àłĮ, á¿IJ, ðŁİij], [ðĿĵ¾, ðIJ¤Ķ, ëĹį, ê³Ĥ, áļĮ, íķ®, ðŁİij], [ðĿķį, 里, ðŁķĭ, áIJ§, ðĿĺı, ðŁķĭ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[123, 63], [114, 72], [116, 88], [112, 98], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[롼, Ȳ, ë¡ij, âĶŀ, àłĮ, á¿IJ, ðŁİij], [ðĿĵ¾, ðIJ¤Ķ, ëĹį, ê³Ĥ, áļĮ, íķ®, ðŁİij], [ðĿķį, 里, ðŁķĭ, áIJ§, ðĿĺı, ðŁķĭ, ðŁİij], [臘, ï¤Ĩ, á¾Ķ, ì³ħ, ê²´, ìĦIJ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[121, 64], [114, 74], [116, 88], [112, 98], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ¾, ðIJ¤Ķ, ëĹį, ê³Ĥ, áļĮ, íķ®, ðŁİij], [ðĿķį, 里, ðŁķĭ, áIJ§, ðĿĺı, ðŁķĭ, ðŁİij], [臘, ï¤Ĩ, á¾Ķ, ì³ħ, ê²´, ìĦIJ, ðŁİij], [ðĿĵ¹, á¿ļ, ᳬ, áĮĶ, ðĿij³, ë¡ij, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[119, 66], [114, 76], [114, 90], [112, 100], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿķį, 里, ðŁķĭ, áIJ§, ðĿĺı, ðŁķĭ, ðŁİij], [臘, ï¤Ĩ, á¾Ķ, ì³ħ, ê²´, ìĦIJ, ðŁİij], [ðĿĵ¹, á¿ļ, ᳬ, áĮĶ, ðĿij³, ë¡ij, ðŁİij], [áĮĦ, íģ», âļĤ, âļ£, 䶵, áĶŃ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[118, 67], [114, 76], [114, 90], [112, 100], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[臘, ï¤Ĩ, á¾Ķ, ì³ħ, ê²´, ìĦIJ, ðŁİij], [ðĿĵ¹, á¿ļ, ᳬ, áĮĶ, ðĿij³, ë¡ij, ðŁİij], [áĮĦ, íģ», âļĤ, âļ£, 䶵, áĶŃ, ðŁİij], [à²Ł, â¡¢, áīIJ, ï¥ł, áłĦ, áłĤ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[116, 68], [114, 79], [114, 91], [112, 100], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ¹, á¿ļ, ᳬ, áĮĶ, ðĿij³, ë¡ij, ðŁİij], [áĮĦ, íģ», âļĤ, âļ£, 䶵, áĶŃ, ðŁİij], [à²Ł, â¡¢, áīIJ, ï¥ł, áłĦ, áłĤ, ðŁİij], [Ôij, âļĤ, áĪĬ, ìĨĬ, Ýĵ, 맳, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_84><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 70], [116, 81], [114, 91], [112, 100], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, íģ», âļĤ, âļ£, 䶵, áĶŃ, ðŁİij], [à²Ł, â¡¢, áīIJ, ï¥ł, áłĦ, áłĤ, ðŁİij], [Ôij, âļĤ, áĪĬ, ìĨĬ, Ýĵ, 맳, ðŁİij], [Ýĵ, âĻĻ, à½ħ, âĶŀ, ÔĪ, âļĹ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 72], [116, 83], [114, 93], [112, 102], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à²Ł, â¡¢, áīIJ, ï¥ł, áłĦ, áłĤ, ðŁİij], [Ôij, âļĤ, áĪĬ, ìĨĬ, Ýĵ, 맳, ðŁİij], [Ýĵ, âĻĻ, à½ħ, âĶŀ, ÔĪ, âļĹ, ðŁİij], [à¬ī, á¿ļ, à½ħ, áĬĴ, Ý¥, áĪ¨, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_30><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [112, 103] and pick up the yellow cup at [121, 64]. The trajectory of the end effector in the first image is [[114, 74], [116, 83], [114, 93], [112, 102], [112, 103]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ôij, âļĤ, áĪĬ, ìĨĬ, Ýĵ, 맳, ðŁİij], [Ýĵ, âĻĻ, à½ħ, âĶŀ, ÔĪ, âļĹ, ðŁİij], [à¬ī, á¿ļ, à½ħ, áĬĴ, Ý¥, áĪ¨, ðŁİij], [Ýĵ, á¶ı, Êĵ, áĬĴ, ðIJ¤Ķ, á¶ı, ðŁİij]]."
]
}
| null |
End of preview. Expand
in Data Studio
Robot Manipulation Dataset with Trajectory Annotations (Deluxe Edition)
Dataset Description
This enhanced dataset contains robot manipulation demonstrations with:
- Image observations: RGB images from robot camera
- Wrist camera views: End-effector perspective images
- Rich conversations: Task descriptions with semantic subtask annotations
- Trajectory annotations: Visual grounding through trajectory points
- Reverse trajectories: Return-to-initial-position augmented data
Dataset Structure
Fields
image: Primary camera RGB imagewrist: Wrist/end-effector camera imageconversations: Structured task dialogue- Task description with semantic subtask decomposition
- Depth map information
- Trajectory predictions
- Action token sequences
annotation: Trajectory coordinates (null for standard frames, populated for annotated frames)
Data Composition
This dataset combines:
- Forward task data: Complete task demonstrations with semantic descriptions
- Reverse trajectory data: Return-to-initial-position augmentation (shifted indices)
Total samples: ~42K+ (21K+ forward + 21K+ reverse)
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("DannyJun/real_deluxe_v1")
train_data = dataset['train']
# Access sample
sample = train_data[0]
print("Task:", sample['conversations']['value'][0])
print("Annotation:", sample['annotation'])
Example Conversation Format
Human: The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take? To figure out the action that the robot should take, let's think through it step by step...
Assistant: The depth map of the first image is .... The number of subtasks is 2. The subtask goals are: pick up the book at [116, 49] and place the book in the back compartment of the caddy at [128, 71]. The trajectory of the end effector in the first image is [[116, 49], [120, 55], [128, 71]]...
Tasks Included
- Object placement and manipulation
- Container operations (microwave, drawer, cabinet)
- Multi-object coordination
- Sequential manipulation tasks
- Reverse trajectory tasks (return to initial position)
Citation
@dataset{robot_manipulation_deluxe,
title={Robot Manipulation Dataset with Trajectory Annotations (Deluxe Edition)},
year={2024},
publisher={Hugging Face},
url={https://huggingface.co/datasets/DannyJun/real_deluxe_v1}
}
License
MIT License
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