Fuzzy Logic Based Control for Autonomous Mobile Robot Navigation and Obstacles Avoidance

This study proposes two fuzzy logic controllers for path planning and obstacle avoidance for mobile robots operating in hostile environments. This paper's major goal is to demonstrate how to use a fuzzy controller with a minimum of eight rules to steer an autonomous mobile robot in a confusing environment. The proposed approach aims to change the movements, guidelines and displacements of the mobile robot to achieve the objectives with an obstacle avoidance strategy. When the robot approaches the obstacle, the collision avoidance behavior is proactive, otherwise else, goal-finding behavior continues. We employed V-REP and MATLAB tools to check the viability and efficiency of the suggested model. The simulation results demonstrated that the performance of our two intelligent controllers allowed the mobile robot to successfully navigate in an uncharted terrain.