Behavior-based hierarchical fuzzy control for mobile robot navigation in dynamic environment

It is of high significance to investigate the mobile robot navigation under dynamic unknown environment. In order to realize the non-collision movement of mobile robots in dynamic unknown circumstance, behavior-based hierarchical fuzzy logic controller to solve the robot navigation and priority-based behavior control are proposed in this paper. First, four basic behaviors, goal seeking, obstacle avoidance, wall following and deadlock disarming, for mobile robot navigation are proposed, and the former three basic bahaviors are implemented through a fuzzy logic controller. To the ‘U’ or ‘V’ shaped acute obstacles where mobile robot may be trapped, path remembering behavior is employed to protect robot from re-entering the similiar areas through constructing the Virtual Wall. Matlab simulation results show that the proposed approach is effective in navigating mobile robots in a dyanminc unknown circumstance.

[1]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[2]  Edward Tunstel,et al.  Behavior Hierarchy for Autonomous Mobile Robots: Fuzzy-Behavior Modulation and Evolution , 1997, Intell. Autom. Soft Comput..

[3]  Bin Lei,et al.  A Fuzzy Behaviours Fusion Algorithm for Mobile Robot Real-time Path Planning in Unknown Environment , 2007, 2007 IEEE International Conference on Integration Technology.

[4]  M. Norouzi,et al.  Object based navigation of mobile robot with obstacle avoidance using fuzzy controller , 2009, 2009 IEEE International Conference on Control and Automation.

[5]  Soh Chin Yun,et al.  Fuzzy and Neural controllers for acute obstacle avoidance in mobile robot navigation , 2009, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[6]  Shun-ming Li,et al.  A Fuzzy Behavior-Based Architecture for Mobile Robot Navigation in Unknown Environments , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

[7]  A. Safiotti,et al.  Fuzzy logic in autonomous robotics: behavior coordination , 1997, Proceedings of 6th International Fuzzy Systems Conference.

[8]  Danwei Wang,et al.  A Novel Navigation Method for Autonomous Mobile Vehicles , 2001, J. Intell. Robotic Syst..

[9]  Kai-Tai Song,et al.  Behavior Fusion of Robot Navigation Using a Fuzzy Neural Network , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.