A Learning Architecture of a Cooperative Behavior for a Group of Mobile Robots that Capture Fleeing Targets

摘要

A learning architecture with a distributable genetic algorithm (dGA) that enables a robot system to obtain a cooperative group behavior is presented. This report focuses on the cooperation issues in a fleeing target capturing problem; mobile robots are commanded to capture fleeing targets in a 2D environment and the task requires a cooperation among mobile robots.