Miguel Andres Meillon Ramirez

Performance evaluation and optimization of a mobile robot path-planning model based on reinforcement learning

Autonomous navigation in mobile robotics faces significant challenges in dynamic, unstructured environments, as re-planning strategies often lack time efficiency when recomputing around new obstacles. Traditional path-planning algorithms typically rely on static, pre-mapped environments and rigid geometric rules, which...