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Microduck

Open-source mini bipedal robot for training your own RL policies

paid
Last Updated 9/10/2026

About Microduck

Microduck is a 25 cm-tall open-source bipedal robot that works out of the box. It supports training and retraining behavior policies on your own machine via reinforcement learning, learning motions in physical simulation, and completing training locally or with Hugging Face Jobs. The full software stack is Apache-2.0 licensed, the robot carries a camera, LiDAR, and two IMUs, with an onboard policy loop at 50 Hz, and it ships with a battery, a USB-C cable, and a game controller.

Best for

Reinforcement learning practitioners
Robotics developers
Open-source project contributors

Best use cases

Retrain robot behaviors on your own machine

Learn policies in physical simulation

Exchange robot policies

Unbox and try the robot right away

Features

RL retraining

Every behavior is a policy you can retrain on your own machine.

Physical simulation training

Behaviors can be trained in MuJoCo physics simulation or with Hugging Face Jobs.

Open-source software stack

The full software stack is Apache-2.0 licensed.

Multi-sensor configuration

Equipped with a camera, LiDAR, and two IMUs.

Pros

  • Works out of the box
  • Supports retraining behavior policies locally
  • Supports physical simulation training
  • Full software stack is Apache-2.0 licensed

Pricing Plans

Microduck

$399one-time
  • Robot, battery, USB-C cable, and game controller

* Pricing information is for reference only. Please refer to the latest announcement on Microduck's official website.

FAQ

The official page states that the full software stack is Apache-2.0 licensed.
The package includes the robot, a battery, a USB-C cable, and a game controller.

Tool Information

DeveloperMicroduck
Release Date9/10/2026
Pricingpaid