Dingfa Zhang

Aug 27, 2024 | mdpi.com | Chunyang Liu |Weitao Liu |Xin Sui |Dingfa Zhang

1. IntroductionIn complex and dynamic environments, wheeled robots require real-time, efficient navigation to adapt to varying terrains and diverse obstacles, for which deep reinforcement learning methods offer new solutions to promote navigation efficiency [1]. Such methods continuously learn strategies to avoid obstacles through dynamic interactions between the robot and its environment.