This article provides a fuzzy controller design enhanced by incorporating the Genetic algorithm (GA) and Ant colony algorithm (ACA) for obstacle avoidance. The efficacy of the proposed controller is verified via simulations using FIRA five-versus-five simulation platform and MATLAB.