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Genetic Programming of a Goal-Keeper Control Strategy for the RoboCup Middle Size Competition
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 1598/1999 |
| Book | Genetic Programming |
| DOI | 10.1007/3-540-48885-5 |
| Copyright | 1999 |
| ISBN | 978-3-540-65899-3 |
| DOI | 10.1007/3-540-48885-5_9 |
| Page | 651 |
| Subject Collection | Computer Science |
| SpringerLink Date | Friday, January 01, 1999 |
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Genetic Programming of a Goal-Keeper Control Strategy for the RoboCup Middle Size Competition
Giovanni Adorni5, Stefano Cagnoni5, 6  and Monica Mordonini5
| (5) |
Department of Computer Engineering, University of Parma, Italy |
| (6) |
Dept. of Computer Engineering, University of Parma, Parco Area delle Scienze 181/A, 43100 Parma, Italy |
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.
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