isaac-ronald-wardMIT
block-stack
Recorded trajectories of block stacking tasks packaged as LeRobot splits for world-model training, captured from real robot demonstrations without simulation.
Downloads0
Episodes56
Why This Matters for Physical AI
This dataset provides real robot manipulation trajectories with multi-view RGB observations and state vectors for training world models that can predict and reason about physical block stacking interactions.
Technical Profile
- Modalities
- rgbproprioception
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- manipulationpick_and_place
- Episodes
- 56
- Data Format
- LeRobot
- License
- MIT
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