Fuzzy Control of Mobile Robot Speed for Safe and Adaptive Navigation

Abstract

The present paper employs fuzzy logic to control the speed of a mobile robot to ensure its safe and efficient navigation in complex and dynamic environments. We discussed the main components of the fuzzy control system, including fuzzification, inference rules, and defuzzification concerning the dynamic, kinematic, and topography models of the robot. The simulation results show the effectiveness of the proposed fuzzy controller in ensuring adaptive and collision-free robot navigation, contributing then to the advancement of intelligent robots and their use in diverse applications.