ParsaSharifiapache-2.0
LIBERO Spatial, re-rendered at 224x224 (Patch Policy layout)
500 demonstrations of LIBERO Spatial (10 tasks x 50 demos) re-rendered at 224x224 resolution and converted to the Patch Policy layout, with replayed MuJoCo states and fixed fixture placements.
Downloads5
Episodes500
Why This Matters for Physical AI
This dataset provides high-quality visual and proprioceptive demonstrations for learning manipulation policies in simulated environments, enabling research on imitation learning and visuomotor control.
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- Franka Panda
- Action Space
- joint_positions
- Environment
- simulation
- Task Types
- manipulationpick_and_place
- Episodes
- 500
- Data Format
- PyTorch
- Annotation Types
- action_labels
- License
- apache-2.0
Access
Need custom rgb data?
Claru builds purpose-built datasets for simulation applications with dense human annotations and quality assurance.
Request a Sample Pack