Microduck RL Opens Robot Sim-to-Real Stack

Microduck RL makes sim-to-real robotics unusually approachable, but the CUDA requirement and inevitable hardware-transfer headaches still keep it closer to an advanced maker platform than plug-and-play experimentation.

• –MuJoCo Warp enables thousands of parallel environments for practical GPU-accelerated training
• –BAM actuator modeling, backlash simulation, and domain randomization target the reality gap directly
• –ONNX export connects simulation experiments to Microduck’s 50 Hz onboard runtime
• –Apache-2.0 software licensing makes the training stack forkable and useful for education and research
• –Community-trained policies could turn a $399 robot into a shared platform for reproducible physical-AI experiments