Humanoid Scooter Control: Does Sim-to-Real Reinforcement Learning Work?
Can reinforcement learning trained in simulation let a humanoid control a real scooter? This episode examines what the reported transfer demonstrates, how the controller is structured, and why balance control should not be confused with autonomous transportation. We cover three technical questions: why PPO outputs a steering target rather than humanoid joint commands; how domain randomization and mirrored simulation experience support transfer; and what separates successful balance from sustained precision through difficult maneuvers. The research builds on a THORMANG3 humanoid operating a…
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