Fuzzy systems for group intelligence of autonomous mobile robots

Abstract

Group intelligence emerges from local interactions between independent individuals without explicit communications under small number of fundamental rules of artificial life. This paper presents generation of fundamental rules of A-Life, represented in the form of fuzzy rules, governing group intelligence of multiple autonomous mobile robots. Cooperative behaviors of "flocking" and "arrangement" of autonomous mobile robots are considered as a group intelligence. Number of the fuzzy rules and their parameters are automatically generated from clustering input-output data obtained from the reference group intelligence algorithm. Simulations demonstrate the fuzzy systems successfully realize group intelligence of a group of autonomous mobile robots.