Retrieving and reusing game plays for robot soccer

Authors:
Raquel Ros;Manuela Veloso;Ramon López de Màntaras;Carles Sierra;Josep Lluís Arcos
Affiliations:
IIIA – Artificial Intelligence Research Institute, CSIC – Spanish Council for Scientific Research, Barcelona, Spain;Computer Science Department, Carnegie Mellon University, Pittsburgh, PA;IIIA – Artificial Intelligence Research Institute, CSIC – Spanish Council for Scientific Research, Barcelona, Spain;IIIA – Artificial Intelligence Research Institute, CSIC – Spanish Council for Scientific Research, Barcelona, Spain;IIIA – Artificial Intelligence Research Institute, CSIC – Spanish Council for Scientific Research, Barcelona, Spain
Venue:
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Year:
2006

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Abstract

The problem of defining robot behaviors to completely address a large and complex set of situations is very challenging. We present an approach for robot's action selection in the robot soccer domain using Case-Based Reasoning techniques. A case represents a snapshot of the game at time t and the actions the robot should perform in that situation. We basically focus our work on the retrieval and reuse steps of the system, presenting the similarity functions and a planning process to adapt the current problem to a case. We present first results of the performance of the system under simulation and the analysis of the parameters used in the approach.