Train in simulation and deploy walking policies to Pollen Robotics' Microduck with NVIDIA Isaac Lab 3.0
A newly published tutorial demonstrates how to train bipedal walking policies for the open-source Microduck robot using NVIDIA Isaac Lab 3.0 and Newton actuator models, export the policy as ONNX, and deploy it on the physical robot. The workflow uses GPU-parallel simulation, domain randomization, Newton/BAM actuator and backlash modeling, and automatic RSL-RL playback exports so models can be shared via the Hugging Face Hub or tested in Microduck Arena.