protocolcompanyprotocol-commercial-v1
Embodied Physics Trajectories
100+ million physics trajectories across 10 physical domains (Mars EDL, orbital mechanics, marine navigation, soil mechanics, mycorrhizal networks, signal propagation, N-body gravity, and energy grids) generated from deterministic Monte Carlo simulations in Rust with no external physics libraries.
Downloads26
Episodes100+ million trajectories (50-100 per substrate in sample)
Why This Matters for Physical AI
This dataset provides physics ground truth across diverse physical domains (planetary entry, orbital mechanics, soil interaction, biological networks) essential for training world models and validating physical AI systems in safety-critical domains like space exploration and autonomous navigation.
Technical Profile
- Modalities
- proprioceptionimu
- Robot Embodiments
- EDL landersatellitesubmarineautonomous boattracked vehiclewheeled vehiclelegged vehicledronehumanoidagroverscout drone
- Environment
- simulation
- Task Types
- landingattitude controlnavigationlocomotion
- Episodes
- 100+ million trajectories (50-100 per substrate in sample)
- Data Format
- parquet
- Annotation Types
- trajectory_metadataphysics_statemission_success_labels
- License
- protocol-commercial-v1
Access
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