sislaboratory
owm-iss-coop-goal-dt50ms-trial
Docking approaches to the International Space Station with a Dragon-class chaser maneuvering from 100-500m under rigid-body free-flyer dynamics, generated for world-model training at 20 Hz with cooperative differential-GNSS-class relative navigation error.
Downloads16
Episodes11
Hours1.45
Why This Matters for Physical AI
This dataset provides high-fidelity spacecraft docking trajectories under realistic sensor noise and dynamics, enabling training of world models for autonomous space rendezvous and docking operations.
Technical Profile
- Modalities
- proprioceptionrgbstate_vector
- Robot Embodiments
- spacecraftDragon-class chaser
- Action Space
- force_torque
- Environment
- simulationspace
- Task Types
- dockingnavigationmanipulation
- Episodes
- 11
- Total Hours
- 1.45
- Data Format
- LeRobot
- Annotation Types
- reward_labelspolicy_iddock_targetstate_vector
Access
Need custom proprioception data?
Claru builds purpose-built datasets for simulation applications with dense human annotations and quality assurance.
Request a Sample Pack