The optimization of the application of fuzzy ant colony algorithm in soccer robot

Abstract

This article provides a theory which is based on the Fuzzy Ant Colony Optimization, and then uses this theory to design an optical speed for the football robots, and then we also apply Ant Colony Optimization to design its routes to avoid obstacles. Afterward, we add Generalized Predictive Control to predict the position which its target might appear at the next sampling time. Our main experiment platform is a simulation machine for FIRA five-to-five soccer robots and MATLAB SIMULATION.