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microduck-m3-velw3
LvQinghai/microduck-m3-velw3
microduck-m3-velw3 is a reinforcement learning model from LvQinghai. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for onnx.
Velocity walking, tracklinearvelocity weight 2.0-3.0, fwd 70% @0.30 m/s
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Public
Updated Sep 19, 2026
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At a glance
- Task
- Reinforcement Learning
- Library
- onnx
- Access
- Public
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026
- SHA
- 22408b01
Model card
From the Hugging Face model README
m3-velw3
Velocity walking, track_linear_velocity weight 2.0->3.0, fwd 70% @0.30 m/s
A perpetual policy for the microduck (61-D observation, 14 actions, 50 Hz). Runs until told otherwise — a gait for the walk slot.
Run it on a robot
sudo robotctl policy load walk LvQinghai/microduck-m3-velw3
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
- task_id:
Mjlab-Velocity-Flat-MicroDuck - repo:
pollen-robotics/microduck_rl - branch:
develop - commit:
d849ea115 - checkpoint:
7249
- Task
- Reinforcement Learning
- Library
- onnx
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026