Instructions to use SccHy/microduck-sprint-gait1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use SccHy/microduck-sprint-gait1 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 SccHy/microduck-sprint-gait1
- Notebooks
- Google Colab
- Kaggle
sprint-gait1
sprint-gait1
A perpetual policy for the microduck (61-D observation, 14 actions, 50 Hz). Runs until told otherwise β a gait, loaded into a policy slot.
Run it on a robot
sudo robotctl policy load <slot> SccHy/microduck-sprint-gait1
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).
Curriculum learning
Trained via a stage-by-stage curriculum: gait shaping and terrain difficulty ramped up progressively. Stages 1β4 of the wall-school curriculum, from flat-ground learning to the final full-height behavior:
Arena result: 1.777s (5/5) β local eval best ck1000 = 1.654s.
Training
- repo:
pollen-robotics/microduck_rl - branch:
challenge-recipe-publishing - commit:
1efd853be
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