Book Chapter or Conference Paper Title

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.

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.

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