fracapuano2026MIT
LeWM TwoRooms
A Lance-converted dataset of 10,000 navigation episodes in a simulated TwoRoom environment, containing 920,809 timesteps with RGB observations, low-dimensional state, and 2D actions for world model training.
Downloads0
Episodes10,000
Why This Matters for Physical AI
This dataset provides large-scale trajectory data with visual observations and proprioceptive state for training world models, which are fundamental for embodied AI systems to predict environment dynamics and plan behaviors.
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- simulated_agent
- Action Space
- end_effector_delta
- Environment
- simulation
- Task Types
- navigation
- Episodes
- 10,000
- Data Format
- Lance
- Annotation Types
- reward_labelsaction_labels
- License
- MIT
Access
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