A New Approach of Fusion Behavior-Based Fuzzy Control for Mobile Robot Navigation

Abstract

A new fusion approach for a finite number of behaviors for mobile robot is presented. The proposed method can enable multiple behaviors. The degree of activation (DA) of each behavior is handled intelligently to ensure the autonomous navigation of a mobile robot in a dynamic and uncertain environment. Simulation results clearly show the capacity of the new algorithm to manage and merge more than two behaviors at the same time. The general algorithm is based on five fuzzy controllers that will lead the robot to reach a destination from a starting point, while avoiding static and dynamic obstacles, as well as the holes avoidance during its navigation.