U.P.B. Sci. Bull.,

 Journal

 Fuzzy Control Of Autonomous Mobile Robot

 Olumide OBE, Ioan DUMITRACHE

 2010

Seamless navigation of autonomous mobile robots in an unstructured, nonepisodic and dynamic environment is constrain by imprecision, uncertainty, unreliability, complexity and unpredictability issues that characterize robots’ sensors and its controller. In this paper, we investigate navigation techniques for Kephera mobile robot using fuzzy logic intelligent technique. We develop Fuzzy logic controller (FCL) using different membership function types to navigate the robot. We investigate the effects of membership functions types on the performance of behaviours such as obstacle avoidance, path tracking/wall following, exploration, and target reaching. Gaussian membership function technique is found to be most efficient for mobile robot navigation.