Case Based Game Play in the RoboCup Four-Legged League Part I The Theoretical Model

Alankar Karol¹, Bernhard Nebel², Christopher Stanton¹, and Mary-Anne Williams¹

¹Faculty of Information Technology, University of Technology, Sydney, NSW 2007, Australia

²Institut für Informatik, Albert-Ludwigs-Universität Freiburg, Georges-Köhler-Allee, Geb. 52, D-79110 Freiburg, Germany

Abstract. Robot Soccer involves planning at many levels, and in this paper we develop high level planning strategies for robots playing in the RoboCup Four-Legged League using case based reasoning. We develop a framework for developing and choosing game plays. Game plays are widely used in many team sports e.g. soccer, hockey, polo, and rugby. One of the current challenges for robots playing in the RoboCup Four-Legged League is choosing the right behaviour in any game situation. We argue that a flexible theoretical model for using case based reasoning for game plays will prove useful in robot soccer. Our model supports game play selection in key game situations which should in turn significantly advantage the team.

LNAI 3020, p. 739 ff.

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