Mobile Robot Navigation Using Fuzzy-GA Approaches Along with Three Path Concept

This paper presents a technique of navigation of a mobile robot using fuzzy computing and genetic algorithm along with three path concept. The information about the distances and angles of obstacles from the robot is acquired by using the concept of three paths. Fuzzy system is used to avoid obstacles when all the three paths are blocked by obstacles; otherwise, the collision-free path is selected by using three path method. Genetic algorithm is used to find optimal range of the linguistic values of the variables for the membership functions. Results show that the method of using fuzzy-GA along with the three path concept is computationally efficient as compared to other hybrid methods.