Deep Reinforcement Learning for Coordinated Payload Transport in Biped-Wheeled Robots

A single deep reinforcement learning agent controls two biped-wheeled robots carrying a shared payload, trained with massively parallel simulation in Isaac Lab and transferred to hardware zero-shot within a 0.5 m error range.