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Artificial Intelligence
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Artificial Intelligence
Article . 2009
License: Elsevier Non-Commercial
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Artificial Intelligence
Article . 2009 . Peer-reviewed
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A case-based approach for coordinated action selection in robot soccer

Authors: Raquel Ros; Josep Lluís Arcos; Ramón López de Mántaras; Manuela M. Veloso;

A case-based approach for coordinated action selection in robot soccer

Abstract

Designing a robot’s behavior in imprecise, uncertain, dynamic, unpredictable and real-time response domains is very challenging, and even more if an adversarial component is also present. An example of such domains is the robot soccer. In this work we propose the use of Case-Based Reasoning techniques to handle all these features in the action selection problem of a team of robots. Moreover, we are also interested in obtaining a cooperative behavior among robots to successfully perform joint tasks. Thus, we include explicit passes between robots, not only to enhance collaboration, but also to face the adversarial component of the domain, i.e. the opponents. We evaluate our approach with respect to a reactive approach in 2 vs. 2 scenarios, where two attackers play against two moving opponents, i.e. a defender and a goalie. We successfully show that our approach not only achieves the expected team behavior, but also outperforms in general the compared approach.

This work was supported by the FI grant from the Generalitat de Catalunya, the European Social Fund, and the MID-CBR project grant TIN2006-15140-C03-01 and FEDER funds and the grant 2005-SGR-00093

ScienceDirect Top 25 Hottest Articles in Artificial Intelligence, April to June 2009

Peer reviewed

Keywords

629, Case-based reasoning, Action selection, Artificial Intelligence, XXXXXX - Unknown, Robot soccer, Cooperative task execution, CBR

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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