Learning behaviour fusion in autonomous mobile robots.

Abstract

This paper describes the work we are carrying on with intelligent agents for mobile autonomous robots, focusing on the learning procedure for behaviour fusion. We have developed a simulation environment where a robot is modeled as the combination of agents that implement some behaviours. For each agent the behaviours it implements are fused by means of fuzzy rule bases. We show how we apply GAs for the learning of those fusion rule bases.