Evolutionary predator-prey robot systems
Gongjin Lan, Jiunhan Chen, Agoston Endre Eiben · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2019
We present a feasibility study on evolving controllers for a group of wheeled robot predators that need to capture a prey robot. Our solution method works by evolving controllers in simulation for 100 generations, followed by 10 generations on real robots. The best controllers are further evaluated by their sensitivity for the initial positions. The results demonstrate the practical feasibility of this approach and give an indication of the time required to develop good solutions for the predator-prey problem.