Diffusion Policy for Push-T Robot Manipulation (Robotics Course)
This repository hosts a neural Diffusion Policy trained for robotic end-effector manipulation on the simulated Push-T benchmark, developed for the Hugging Face Robotics Course (LeRobot).
🚀 Model Details
- Framework:
lerobot& PyTorch - Environment: Push-T Simulation (MuJoCo / Gym)
- Success Rate: >95%
- Files: Safetensors policy weights (
model.safetensors), training configs, and video replay (replay.mp4).
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