ENTITY Double-Ackermann-steering mobile robots

Double-Ackermann-steering mobile robots

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TOOL · CL_65472 · Jun 2 · 04:00

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…

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