Human-Risk-Aware Safe Path Planning Based on Reinforcement Learning for Autonomous Mobile Robots

This paper addresses the challenge of safe path planning for mobile robots operating in human-shared environments, where human movements are inherently stochastic. To this end, we propose a reinforcement-learning-based path planning algorithm that accounts for human-related uncertainties at the plan...

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Autors principals:	Zhongjie Long, Xianbo Zhang, Jian Mi, Jun Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-11-01
Col·lecció:	Sensors
Matèries:	mobile robot safe path planning human-shared environments uncertainties stochastic risk evaluation
Accés en línia:	https://www.mdpi.com/1424-8220/25/23/7211
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