Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
RoboCup: The Robot World Cup Initiative
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Co-evolving Soccer Softbot Team Coordination with Genetic Programming
RoboCup-97: Robot Soccer World Cup I
RoboCup-98: Robot Soccer World Cup II
Grammatical evolution of a robot controller
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A survey on team strategies in robot soccer: team strategies and role description
Artificial Intelligence Review
Vector-valued function estimation by grammatical evolution for autonomous robot control
Information Sciences: an International Journal
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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.