May 14, 2026 · cs.ROJ/K move · Enter open · S save
Li Tan, Junlin Xiong, Yan Wang, Wei Ren
Department of Automation, University of Science and Technology of China, Hefei, 230031, China. · School of Intelligence Science and Engineering, Harbin Institute of Technology Shenzhen, Shenzhen 515100, China · School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China.
This paper addresses the motion control problem for mobile robots in obstacle-cluttered environments. The mobile robot has partial environment information only, and aims to move from an initial position to a target position without collisions. For this purpose, a reactive planning based control strategy (RPCS) is proposed. First, the initial and target positions are connected as a reference trajectory. Then, a reactive planning strategy (RPS) is developed to ensure the collision avoidance by modifying the reference trajectory locally based on the partial environment information. Next, an adaptive tracking control strategy (ATCS) is proposed to track the reference trajectory with potentially local modifications via the discretization techniques. Finally, the RPS and ATCS are combined to establish the RPCS, whose efficacy and advantages are illustrated by numerical examples.