English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/31479
Title: A Case-Based approach for Coordinated Action Selection in Robot Soccer
Authors: Ros, Raquel; Arcos, Josep Ll.; Lopez de Mantaras, Ramon; Veloso, Manuela
Keywords: Case-based reasoning
Action selection
Robot soccer
Cooperative task execution
Issue Date: 2009
Publisher: Elsevier
Citation: Artificial Intelligence 173 (9-10): 1014-1039 (2009)
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.
Description: ScienceDirect Top 25 Hottest Articles in Artificial Intelligence, April to June 2009
Publisher version (URL): http://dx.doi.org/10.1016/j.artint.2009.02.004
URI: http://hdl.handle.net/10261/31479
ISSN: 0004-3702
Appears in Collections:(IIIA) Artículos
Files in This Item:
File Description SizeFormat 
AI_Journal_Case-Based_Robotsoccer.pdf914,62 kBAdobe PDFView/Open
Show full item record

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.