Opponent classification in robot soccer
Faculty / School
Faculty of Computer Sciences (FCS)
Department
Department of Computer Science
Was this content written or created while at IBA?
Yes
Document Type
Conference Paper
Publication Date
6-2015
Conference Name
International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
Conference Location
Seoul, Korea (Republic of)
Conference Dates
10-12 June 2015
ISBN/ISSN
84946434603 (Scopus)
Volume
9101
First Page
478
Last Page
487
Publisher
Springer, Berlin, Heidelberg
Abstract / Description
The paper presents an approach to perform post-hoc analysis of RoboCup Soccer Simulation 3D teams via log files of their matches and to learn a model to classify them not only as being strong, medium or weak but also through their game playing styles such as frequent kickers, frequent dribblers, heavy/lean attackers, etc. The learned model can then be used to further cluster teams to predict game style of similar opponents. We have applied the presented approach to 22 teams from RoboCup 2011 in a fully automated fashion and the results show the validity of our approach.
DOI
https://doi.org/10.1007/978-3-319-19066-2_46
Citation/Publisher Attribution
Larik, A. S., & Haider, S. (2015, June). Opponent classification in robot soccer. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (pp. 478-487). Springer, Cham.
Recommended Citation
Larik, A. S., & Haider, S. (2015). Opponent classification in robot soccer., 9101, 478-487. https://doi.org/10.1007/978-3-319-19066-2_46
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