npowMIT
YAM GELLO Red Cap Manipulation Dataset (100 Demonstrations)
100 high-quality bimanual teleoperation demonstrations of tabletop object grasping and manipulation using the I2RT YAM robot arm teleoperated with a GELLO passive leader arm. Contains 25,874 timesteps (~22 minutes) of synchronized RGB video from 3 cameras and proprioceptive state data.
Downloads0
Episodes100
Hours0.37
Why This Matters for Physical AI
This dataset provides high-quality bimanual manipulation demonstrations with precise teleoperation feedback and multi-view observations, enabling research in imitation learning and robot control for complex grasping and manipulation tasks.
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- I2RT YAM
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- manipulationgraspingreaching
- Episodes
- 100
- Total Hours
- 0.37
- Data Format
- npz
- License
- MIT
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