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Train in sim. Run it for real. Teach it new tricks. 🦆 This is the sim2real loop that powers Microduck. RL stack open source here : Buy it here : Git : Join our community :

Pollen Robotics

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247,984 views • 1 day ago •via X (Twitter)

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We built a small biped robot you can teach new tricks to. Train it in simulation, run it on the real thing. Meet Microduck 🦆 $399, shipping before Christmas.

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🤖WILD: This $399 robot duck is selling one unit every four seconds. Hugging Face just launched the "Microduck," an open-source robot anyone can teach new tricks. It can waddle, roller skate, pick things up with its beak, and get back up when it falls.

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The coolest part of Microduck might not be the robot. It's how it learns to move. This repo shows the full reinforcement learning pipeline behind Microduck. The robot learns in simulation using MuJoCo, PPO and GPU-based training, then the trained policy is exported to ONNX and deployed on the real robot. But the real challenge is sim-to-real. The simulation models things like actuator behavior, battery voltage, command delays, friction and even gear backlash. That helps make the learned policy work when it moves from simulation to the physical robot. The repo includes policies for walking, fall recovery, sitting, standing, kicking, ground picking and even roller skating. Train in simulation. Test the behavior. Export the policy. Run it on a real robot.

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also check out our code here we haven't released everything yet but there's enough there that you can train a policy, eval it in sim, and view the rollouts live in viser!

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