Datasets:
DannyJun
/
real_deluxe_v3_plus

Dataset card Data Studio Files
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1
image
imagewidth (px)
320
320
wrist
imagewidth (px)
320
320
conversations
dict
annotation
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0 values
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_55><DEPTH_116><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[152, 20], [160, 36], [162, 51], [158, 63], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìŁĻ, á¶ı, ìĿ¿, áĶħ, âļĹ, ðĿij³, ðŁİij], [á©ĭ, áłĤ, ðŁĸ¶, áĬĴ, ë±ĭ, íĭį, ðŁİij]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[155, 24], [160, 36], [162, 51], [158, 63], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á©ĭ, áłĤ, ðŁĸ¶, áĬĴ, ë±ĭ, íĭį, ðŁİij], [á¿IJ, á¾Ķ, á½Ŀ, ʶ, Õĥ, ï¥ł, ðŁİij]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_55><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[158, 28], [162, 39], [160, 55], [158, 63], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¿IJ, á¾Ķ, á½Ŀ, ʶ, Õĥ, ï¥ł, ðŁİij], [íĵŃ, áĪ¾, ìĦIJ, áģ¼, à½ħ, ì¼ĩ, ðŁİij]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[159, 32], [162, 43], [160, 55], [158, 63], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵŃ, áĪ¾, ìĦIJ, áģ¼, à½ħ, ì¼ĩ, ðŁİij], [ðIJ¤Ķ, áĮĥ, ìı±, à°µ, áĪĬ, íĵ¬, ðŁİij]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[160, 36], [162, 47], [160, 59], [158, 64], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðIJ¤Ķ, áĮĥ, ìı±, à°µ, áĪĬ, íĵ¬, ðŁİij], [ðĿļģ, á¶ı, ìŤ, áłĦ, á¾Ķ, áĶĬ, ðŁİij]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[162, 39], [162, 47], [160, 59], [158, 64], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļģ, á¶ı, ìŤ, áłĦ, á¾Ķ, áĶĬ, ðŁİij], [ḻ, áĶŃ, ðŁķľ, ðĿĵ¾, à¤ij, Ý¥, ðŁİij]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[162, 43], [162, 51], [159, 62], [158, 64], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, áĶŃ, ðŁķľ, ðĿĵ¾, à¤ij, Ý¥, ðŁİij], [ê²Ļ, à½ħ, ðŁıĴ, ḻ, ï¤Ĩ, á¨ģ, ðŁİij]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_56><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[162, 47], [160, 55], [159, 62], [158, 64], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²Ļ, à½ħ, ðŁıĴ, ḻ, ï¤Ĩ, á¨ģ, ðŁİij], [䶵, áīIJ, ðŁĴº, ÔĪ, â¡¢, 롼, ðŁİij]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[162, 51], [160, 59], [158, 63], [158, 65], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[䶵, áīIJ, ðŁĴº, ÔĪ, â¡¢, 롼, ðŁİij], [ê³Ĥ, áłĤ, ðŁĶĩ, áģ¼, íĥĻ, âĶŀ, ðŁİij]]." ] }
null
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[160, 55], [160, 59], [158, 63], [158, 65], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê³Ĥ, áłĤ, ðŁĶĩ, áģ¼, íĥĻ, âĶŀ, ðŁİij], [ðĸ¥, â¡¢, ðŁĸ¶, ãĪª, à°³, à¬ī, ðŁİij]]." ] }
null
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[160, 59], [159, 62], [158, 64], [158, 65], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥, â¡¢, ðŁĸ¶, ãĪª, à°³, à¬ī, ðŁİij], [ðIJŃĬ, ï¤ħ, ìī¡, ḻ, à°µ, Ý¥, ðŁİij]]." ] }
null
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[159, 62], [158, 63], [158, 64], [158, 65], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðIJŃĬ, ï¤ħ, ìī¡, ḻ, à°µ, Ý¥, ðŁİij], [íĵ®, ðĿĵŀ, à½ħ, áłĦ, Ôij, ÔĪ, ðŁİij]]." ] }
null
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_101><DEPTH_30><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[158, 63], [158, 64], [158, 65], [158, 66], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ®, ðĿĵŀ, à½ħ, áłĦ, Ôij, ÔĪ, ðŁİij], [ê²´, Ýĵ, â¡¢, áĶĬ, ðĿļģ, ðŁıĩ, ðŁİij]]." ] }
null
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_101><DEPTH_30><DEPTH_26><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[158, 64], [158, 65], [158, 66], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²´, Ýĵ, â¡¢, áĶĬ, ðĿļģ, ðŁıĩ, ðŁİij], [íĭį, ðĿĵ°, á©ĭ, íĭį, à¬ī, ðIJ¤Ķ, ðŁİij]]." ] }
null
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_101><DEPTH_30><DEPTH_26><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[158, 65], [158, 66], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĭį, ðĿĵ°, á©ĭ, íĭį, à¬ī, ðIJ¤Ķ, ðŁİij], [ê²´, à¤ij, 맳, á¸ĥ, Ȳ, ðĿĻľ, ðŁİij]]." ] }
null
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_101><DEPTH_30><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[158, 66], [158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²´, à¤ij, 맳, á¸ĥ, Ȳ, ðĿĻľ, ðŁİij], [ãĪª, áĢı, íĥĻ, áĮĦ, ðĿĵ°, ðŁħ¢, Ý¥]]." ] }
null
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_125><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the blue cup at [158, 66] and pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[158, 66]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, áĢı, íĥĻ, áĮĦ, ðĿĵ°, ðŁħ¢, Ý¥], [à°³, ðĿĺļ, ìĨĬ, à½ħ, áĪ¾, áĴĮ, Ý¥]]." ] }
null
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_101><DEPTH_30><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[158, 66], [158, 63], [160, 53], [160, 48], [162, 34]]. 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, ðĿĺļ, ìĨĬ, à½ħ, áĪ¾, áĴĮ, Ý¥], [Ýĵ, ãĦĵ, ðĿļĦ, á¡Į, ï®ı, ðĿļģ, Ý¥]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_101><DEPTH_30><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[158, 63], [159, 58], [160, 53], [160, 48], [162, 34]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ýĵ, ãĦĵ, ðĿļĦ, á¡Į, ï®ı, ðĿļģ, Ý¥], [áĶĬ, ãĦĵ, âĽı, Ôij, áĢı, áłĤ, Ý¥]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[159, 58], [160, 53], [160, 48], [160, 41], [162, 34]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĶĬ, ãĦĵ, âĽı, Ôij, áĢı, áłĤ, Ý¥], [ðĸ¥, ï±Ĭ, ᥤ, ðĿĸĸ, âķĬ, ðŁĶĥ, Ý¥]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[160, 53], [160, 48], [160, 41], [162, 34]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥, ï±Ĭ, ᥤ, ðĿĸĸ, âķĬ, ðŁĶĥ, Ý¥], [ðĿĵķ, â°Ł, â°IJ, â¡¢, ðĿĵ¹, ðŁĵŁ, Ý¥]]." ] }
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{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[160, 48], [160, 41], [162, 34]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, â°Ł, â°IJ, â¡¢, ðĿĵ¹, ðŁĵŁ, Ý¥], [ì¼ĩ, âĨ¤, â°į, áłĤ, áĭ©, ìŤ, Ý¥]]." ] }
null
{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the blue cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the blue 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_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the blue cup at [162, 34]. The trajectory of the end effector in the first image is [[160, 41], [162, 34]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ì¼ĩ, âĨ¤, â°į, áłĤ, áĭ©, ìŤ, Ý¥], [䶵, âĶ½, ãī«, ì³ħ, ðĿļģ, íķ±, Ý¥]]." ] }
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