Abstract
In this paper we describe a genetic programming approach to the design of a motion-control strategy for a goalkeeper robot created to compete in the RoboCup99, the robot soccer world championships which have been held yearly since 1997, as part of the Italian middle size robot team (ART, Azzurra Robot Team).
The evolved program sends a motion command to the robot, based on the analysis of information received from a human-coded vision sub-system. The preliminary results obtained on a simulator are encouraging. They suggest that even using very simple fitness functions and training sets including only a small sub-set of the situations that the goalkeeper is required to tackle, it is possible to evolve a complex behavior that permits the goalkeeper to perform well also in more challenging real-world conditions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
H. Kitano, M. Asada, Y. Kuniyoshi, I. Noda, and E. Osawa, “RoboCup: the robot world cup initiative”, in Proc. of the IJCAI-95 workshop on entertainment and AI/ALife, 1995.
N. Itsuki, “Soccer server: a simulator for RoboCup”, in JSAI AI-Symposium 95: Special Session on RoboCup, december 1995.
S. Luke, C. Hohn, J. Farris, G. Jackson, and J. Hendler, “Co-evolving soccer softbot team coordination with genetic programming”, in Proc. of the First Workshop on RoboCup, IJCAI-97. 1997, Springer-Verlag.
D. Andre and A. Teller, “Evolving team Darwin United”, in RoboCup-98: Robot Soccer World Cup II, M. Asada, Ed. 1998, Springer-Verlag.
J. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, 1992.
D. Zongker and B. Punch, lil-gp 1.01 user’s manual, Michigan State University, 1996, available via anonymous ftp from ftp://garage.cse.msu.edu/pub/GA/lilgp.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Adorni, G., Cagnoni, S., Mordonini, M. (1999). Genetic Programming of a Goal-Keeper Control Strategy for the RoboCup Middle Size Competition. In: Poli, R., Nordin, P., Langdon, W.B., Fogarty, T.C. (eds) Genetic Programming. EuroGP 1999. Lecture Notes in Computer Science, vol 1598. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48885-5_9
Download citation
DOI: https://doi.org/10.1007/3-540-48885-5_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65899-3
Online ISBN: 978-3-540-48885-9
eBook Packages: Springer Book Archive