witcheer/microduck-kick-right

reinforcement-learning model by witcheer

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Right-foot ball kick from a standing start (Mjlab-BallKick-Flat-MicroDuck), trained in simulation only: 10,000 iterations, 4096 envs, 161 min on one RTX 5090. Blind to the ball by design, so the ball must sit at the right toe (trained with +-1.5 cm placement noise). In 3 of 3 sim takes the ball travelled 1.03 to 1.13 m in the first second and the duck stayed standing. Not yet tested on a real Microduck. A episodic policy for the microduck (61-D observation, 14 actions, 50 Hz). Runs 1.0 s and returns itself to a standing pose. The observation normalizer is baked into policy.onnx; feed raw observations. manifest.json follows schema 2 of the microduck policy manifest (docs/policy-manifest.md in the daemon…

witcheer/microduck-kick-right on Hugging Face A short preview, not the full document.

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Model overview

witcheer/microduck-kick-right is a reinforcement-learning model repository published by witcheer on Hugging Face. The source reports the onnx library.

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Model facts

Task: reinforcement-learning
Library: onnx
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: Not reported — check the model card
Access: Not gated by Hugging Face
Created: 2026-09-23T06:25:34.000Z
Last modified: 2026-09-23T06:32:07.000Z

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