Open-Source Tool Lets You Simulate a Walking Robot Duck

A developer named Arjun has created an open-source integration that brings Microduck, a small two-legged robot from Pollen Robotics, into the ROS 2 ecosystem. ROS 2 is a set of software tools that helps different parts of a robot talk to each other. The integration lets you run Microduck's existing control programs (called policies) in MuJoCo, a physics simulator that mimics real-world movement. This means you can test how the robot would behave without needing the actual hardware.

The tool includes several features: it simulates the robot's motors accurately, provides a camera feed, and exposes the robot's skills—like kicks, rolls, and standing up—as services you can call from ROS 2. It also follows the robot's manifest, which defines how skills should be executed. The developer verified that the simulated robot's observations match the real policy's expectations to a very high precision.

Why does this matter? For hobbyists and researchers, it lowers the barrier to entry. You don't need to own a $10,000 robot to start programming it. You can develop and test navigation and autonomy algorithms in simulation first. The developer is now planning to add Nav2, a navigation system for robots, to enable autonomous movement. This could lead to more advanced capabilities for the Microduck platform.

The project is open source and available on GitHub. The developer is seeking feedback from others who have worked with ROS 2, MuJoCo, or the Microduck hardware. This kind of collaboration can accelerate innovation in robotics, making it easier for anyone to contribute and learn.