TY - GEN
T1 - Evolutionary predator-prey robot systems
T2 - 2019 Genetic and Evolutionary Computation Conference, GECCO 2019
AU - Lan, Gongjin
AU - Chen, Jiunhan
AU - Eiben, A. E.
PY - 2019/7/13
Y1 - 2019/7/13
N2 - 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.
AB - 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.
KW - Evolutionary robotics
KW - Predator-prey system
KW - Reality Gap
UR - http://www.scopus.com/inward/record.url?scp=85070626967&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070626967&partnerID=8YFLogxK
U2 - 10.1145/3319619.3322033
DO - 10.1145/3319619.3322033
M3 - Conference contribution
T3 - GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
SP - 123
EP - 124
BT - GECCO '19
PB - Association for Computing Machinery, Inc
Y2 - 13 July 2019 through 17 July 2019
ER -