Application of Fuzzy Logic Controller for obstacle detection and avoidance on real autonomous mobile robot

Abstract

Navigation in real environment with static and dynamic obstacles, detection and avoidance is one of the main challenges for autonomous mobile robot movement. This consists, on methods and algorithms applied in order to achieve most optimal results. We presented application of Fuzzy Logic Controller (FLC) which will deal with, signal processing of three sensors as inputs of FLC and two outputs which are left and right motors as actuators. In this context, a navigation of the robot via FLC algorithm is presented on this paper.