A new fuzzy intelligent obstacle avoidance control strategy for wheeled mobile robot

Abstract

Obstacle avoidance is the basic requirement for any autonomous mobile robot. Fuzzy intelligent obstacle avoidance strategy is proposed in this paper for the wheeled mobile robot tracking a target in the environment with obstacles, which is composed of two fuzzy logic controllers and an intelligent coordinator. Run-to-goal fuzzy controller makes the robot approach the target when there are no obstacles in the environment; Fuzzy obstacle controller will generate obstacle avoidance commands according to target orientation information and obstacle information when the robot detecting obstacles via its onboard sensors. Intelligent coordinator is designed to coordinate the two actions mentioned above to generate robot's ultimate control command. Ultimately, the robot tracks the target and realizes obstacle avoidance meanwhile. Simulations and experiments on robot platform validate the effectiveness proposed by the paper.