arth-shukla2024mit
ManiSkill-HAB SetTable Dataset
Whole-body, low-level control demonstration dataset for the ManiSkill-HAB SetTable task, containing 1000 successful episodes per subtask/object combination gathered using filtered RL policies.
Downloads374
Episodes1000 per subtask/object combination
Why This Matters for Physical AI
Provides large-scale demonstration data for training vision-based imitation learning and learning from demonstrations methods on complex manipulation tasks requiring whole-body robot control and skill chaining.
Technical Profile
- Modalities
- rgbdepthproprioception
- Robot Embodiments
- mobile_manipulator
- Action Space
- joint_positions
- Environment
- simulation
- Task Types
- manipulationgraspingpick_and_placerearrangement
- Episodes
- 1000 per subtask/object combination
- Data Format
- HDF5
- Annotation Types
- action_labelsreward_labels
- License
- mit
Community Signals
Top 50% by downloads
Academic Citations1
- Faster Training for Robotic Manipulation in GPU Parallelized Robotics Simulation2025 · International Journal of Software Science and Computational Intelligence
HuggingFace Discussions1
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