ManeuverNet

DRL enhances robot pose control with sim-to-sim-to-real strategy

Researchers have developed a deep reinforcement learning (DRL) approach to improve pose control for double-Ackermann-steering robots, addressing the challenge of transferring policies from simulation to real-world appli…