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

Castañeda Barron, Luis Angel, Meillon Ramirez, Miguel Andres, Armiñan Ibarra, Cristobal, Orozco Rosas, Ulises, Picos, Kenia
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Abstract

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....

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SPIE.Digital Library

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Keywords: Reinforcement learning, Mobile robot, Q-Learning, Path planning, LiDAR, Intelligent systems

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https://doi.org/10.1117/12.3111714

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https://repositorio.cetys.mx/handle/60000/2103

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Abr 26May 26Jun 26Jul 26Ago 26Sep 26Oct 26
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