Instructions to use juicenv/microduck-hill-es9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use juicenv/microduck-hill-es9 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 juicenv/microduck-hill-es9
- Notebooks
- Google Colab
- Kaggle
hill-es9
1.5 m Hill Climb: suraj-phanindra/microduck-hill-hc5-aifund (from juicenv, suraj-phanindra and namenu lineage) fine-tuned by an elitist hill climb on the Arena hill scorer. Credit to suraj-phanindra and namenu.
A perpetual policy for the microduck (61-D observation, 14 actions, 50 Hz). Runs until told otherwise — a gait, loaded into a policy slot.
Run it on a robot
sudo robotctl policy load <slot> juicenv/microduck-hill-es9
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).
A remix of suraj-phanindra/microduck-hill-hc5-aifund.
Training
- repo:
pollen-robotics/microduck_rl - branch:
hannes-ft - commit:
3c0598cae
- Downloads last month
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Model tree for juicenv/microduck-hill-es9
Base model
namenu/microduck-arena Finetuned
juicenv/microduck-hill-es6 Finetuned
juicenv/microduck-hill-es8