cagataydevcc-by-4.0-generated-with-nvidia-isaac
ANYbotics ANYmal-D quadruped rough-terrain locomotion (Isaac Lab, recorded with strands-robots)
A PPO policy trained in NVIDIA Isaac Lab controls a 12-DoF ANYmal-D quadruped to walk over procedurally generated rough terrain while tracking commanded base velocity. The dataset contains 12 episodes of rollouts recorded at 50 fps with RGB camera observations, proprioceptive state, and joint position actions.
Downloads67
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- ANYmal-D
- Environment
- simulation
- Task Types
- locomotion
- Data Format
- LeRobot
- License
- cc-by-4.0-generated-with-nvidia-isaac
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