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RoboCup formation modeling

Thesis (MSc (Mathematical Sciences. Computer Science))--University of Stellenbosch, 2009.

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Main Author: Kriek, Andre
Other Authors: Van Zijl, L.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2009
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access_status_str Open Access
author Kriek, Andre
author2 Van Zijl, L.
author_browse Kriek, Andre
Van Zijl, L.
author_facet Van Zijl, L.
Kriek, Andre
author_sort Kriek, Andre
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MSc (Mathematical Sciences. Computer Science))--University of Stellenbosch, 2009.
format Thesis
id oai:scholar.sun.ac.za:10019.1/2810
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:40:54.381Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2009
publishDateRange 2009
publishDateSort 2009
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/2810 RoboCup formation modeling Kriek, Andre Van Zijl, L. Kroon, R. S. (Steve) University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Institute for Applied Computer Science. Soccer formation inference Theses -- Computer science Dissertations -- Computer science Robotics in sports Soccer -- Computer simulation Mathematical Sciences Computer Science Thesis (MSc (Mathematical Sciences. Computer Science))--University of Stellenbosch, 2009. Since the late 1990s, the Robot Soccer World Cup has been used as a testing ground for new technology in the eld of robotic design and arti cial intelligence. This research initiative pits two teams of robots against each other in a game of soccer. It is hoped that the technology gained will enable the construction of a fully autonomous team of robot players to play a normal soccer game against a human team by the year 2050. In robot soccer matches, as in real soccer matches, inferring an opponent's strategy can give a team a major advantage. One important aspect of a team's strategy is the formation the team uses. Knowing the formations that an opposing team tends to take, enables a team to prepare appropriate countermeasures. This thesis will investigate methods to extract formation information from a completed soccer game. The results show that these methods can be used to infer a classical team formation, as well as other distinguishing characteristics of the players, such as which areas on the eld the players tend to occupy, or the players' movement patterns - both valuable items of information for a future opposition team. 2009-02-12T14:54:08Z 2010-06-01T08:58:50Z 2009-02-12T14:54:08Z 2010-06-01T08:58:50Z 2009-03 Thesis http://hdl.handle.net/10019.1/2810 en University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Soccer formation inference
Theses -- Computer science
Dissertations -- Computer science
Robotics in sports
Soccer -- Computer simulation
Mathematical Sciences
Computer Science
Kriek, Andre
RoboCup formation modeling
title RoboCup formation modeling
title_full RoboCup formation modeling
title_fullStr RoboCup formation modeling
title_full_unstemmed RoboCup formation modeling
title_short RoboCup formation modeling
title_sort robocup formation modeling
topic Soccer formation inference
Theses -- Computer science
Dissertations -- Computer science
Robotics in sports
Soccer -- Computer simulation
Mathematical Sciences
Computer Science
url http://hdl.handle.net/10019.1/2810
work_keys_str_mv AT kriekandre robocupformationmodeling