Online and onboard evolution of robotic behavior using finite state machines

Abstract

In this paper, a control system representation based on finite state machines is utilized to build an evolutionary robotic framework where evolution is performed in a swarm of simple robots in an online and onboard manner. Experiments in simulation show that the framework is capable of robustly evolving basic benchmark behaviors like collision avoidance.