Instructions to use witcheer/microduck-walk-rough with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use witcheer/microduck-walk-rough with Microduck:
sudo robotctl policy load walk witcheer/microduck-walk-rough
- Notebooks
- Google Colab
- Kaggle
README: re-correct the terrain line (random rough patches, not flat)
Browse files
README.md
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# walk-rough
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Walking gait trained in the rough-terrain task (Mjlab-Velocity-Rough-MicroDuck), simulation only: 8,000 iterations, 4096 envs, 324 min on one RTX 5090.
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A **perpetual** policy for the [microduck](https://github.com/pollen-robotics/microduck) (61-D observation, 14 actions, 50 Hz). Runs until told otherwise — a gait for the `walk` slot.
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# walk-rough
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Walking gait trained in the rough-terrain task (Mjlab-Velocity-Rough-MicroDuck), simulation only: 8,000 iterations, 4096 envs, 324 min on one RTX 5090. Each terrain patch in this task gets a random type (flat, stairs up to 1.5 cm, an uneven grid, a slope) and a random difficulty, so it trained on mixed rough ground. An earlier version of this card called it a flat-ground walker; that was our misreading of the terrain setup. Upright for a 12 s flat-ground take; no rough-ground take recorded yet. Not yet tested on a real Microduck.
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A **perpetual** policy for the [microduck](https://github.com/pollen-robotics/microduck) (61-D observation, 14 actions, 50 Hz). Runs until told otherwise — a gait for the `walk` slot.
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