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README.md
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license: cc-by-4.0
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---
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---
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license: cc-by-4.0
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task_categories:
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- robotics
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language:
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- en
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tags:
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- rlds
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- ur3
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size_categories:
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- n<1K
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---
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This repo contains a robotic dataset of 300 episodes across three manipulation tasks, stored in RLDS fromat. The data was collected on `UR3 robot`, using MoCap-based teleoperation system with `force feedback`.
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For all tasks, state observation consists of:
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- An RGB image (128 × 128) captured from a wrist-mounted camera;
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- An RGB-D image (256 × 256) from a side-mounted RealSense D455 camera;
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- The robot’s proprioceptive state, including end-effector pose and joint angles;
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- Gripper position and force sensor readings, standardized to the range [0, 1].
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The action space is defined as a 7-dimensional vector, comprising:
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- A 6-dimensional delta displacement for joint angles,
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- 1-dimensional delta value for gripper position, standardized to the range [-1, 1].
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The frequency of data collection was fixed at 10Hz.
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The selected objects for manipulation included a `shampoo bottle`, a `tomato`, and a `tube of toothpaste`.
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Each trajectory starts from the robot's home position and ends when the robot successfully grasps the object and lifts it approximately 10 cm above the table surface.
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---
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license: cc-by-4.0
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---
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