ThomasWalker1
PAARBench PushObj Training Data
Training dataset for PAARBench containing 8,000 episodes of object pushing trajectories across multiple shapes in simulation, designed for base-model and adapter training with world models and test-time adaptation methods.
Downloads0
Episodes8000
Why This Matters for Physical AI
This dataset enables research in world models and test-time adaptation for robotic manipulation by providing large-scale offline trajectories of controlled pushing tasks across diverse object geometries.
Technical Profile
- Modalities
- rgbproprioception
- Action Space
- joint_velocities
- Environment
- simulation
- Task Types
- manipulationpush
- Episodes
- 8000
- Data Format
- PyTorch
- Annotation Types
- action_labels
Access
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