cagataydevcc-by-4.0-generated-with-nvidia-isaac
Franka Reach — best run of a Strands-Agent-driven Isaac Lab sweep
A Franka Panda end-effector pose reaching task trained via reinforcement learning (PPO) in NVIDIA Isaac Lab by a Strands Agent, with 12 episodes of recorded rollouts at 30 fps achieving 98.3% success rate.
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Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- Franka Panda
- Environment
- simulation
- Task Types
- reachmanipulation
- Data Format
- LeRobot
- License
- cc-by-4.0-generated-with-nvidia-isaac
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