Instructions to use QingMuLYL/microduck-standup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use QingMuLYL/microduck-standup with Microduck:
# Replace SLOT with the slot specified in the model card (walk, stand, sitstand, ground_pick, kick_left, kick_right, roulade). sudo robotctl policy load SLOT QingMuLYL/microduck-standup
- Notebooks
- Google Colab
- Kaggle
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Download README.md from QingMuLYL/microduck-standup: direct link, hf CLI and curl.
- Browser
- Download file 792 Bytes
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https://huggingface.co/QingMuLYL/microduck-standup/resolve/main/README.md
- Command line
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hf download hf://QingMuLYL/microduck-standup/README.md
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curl -L -o README.md https://huggingface.co/QingMuLYL/microduck-standup/resolve/main/README.md
792 Bytes
metadata
tags:
- microduck
- robotics
- reinforcement-learning
- onnx
library_name: onnx
standup
standup
A episodic policy for the microduck (61-D observation, 14 actions, 50 Hz). Runs 6.0 s and returns itself to a standing pose.
Run it on a robot
sudo robotctl policy add standup QingMuLYL/microduck-standup
robotctl robot do standup
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 repo).
Training
- repo:
pollen-robotics/microduck_rl - branch:
develop - commit:
982b8f889 - exported from a checkout with uncommitted changes