Fuzzy-based Path Planning for Multiple Mobile Robots in Unknown Dynamic Environment

  • Zhao, Ran (Dept. of Electrical Engineering, Korea University of Technology and Education) ;
  • Lee, Hong-Kyu (Dept. of Electrical Engineering, Korea University of Technology and Education)
  • Received : 2015.04.14
  • Accepted : 2016.11.22
  • Published : 2017.03.01


This paper presents a path planning problem for multi-robot system in the environment with dynamic obstacles. In order to guide the robots move along a collision-free path efficiently and reach the goal position quickly, a navigation method based on fuzzy logic controllers has been developed by using proximity sensors. There are two kinds of fuzzy controllers developed in this work, one is used for obstacle avoidance and the other is used for orientation to the target. Both static and dynamic obstacles are included in the environment and the dynamic obstacles are defined with no type of restriction of direction and velocity. Here, the environment is unknown for all the robots and the robots should detect the surrounding information only by the sensors installed on their bodies. The simulation results show that the proposed method has a positive effectiveness for the path planning problem.


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