cagataydevcc-by-4.0-generated-with-nvidia-isaac
Isaac-Ant trained at 131,072 parallel envs (Isaac Lab max-scale, recorded with strands-robots)
A PPO policy trained on the Isaac-Ant locomotion task using 131,072 parallel environments on a single GPU, recorded as a LeRobot v3 dataset with 12 episodes of 300 frames each at 60 fps.
Downloads70
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- ant
- Environment
- simulation
- Task Types
- locomotion
- Data Format
- LeRobot
- License
- cc-by-4.0-generated-with-nvidia-isaac
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