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RoboCup formation modeling

dc.contributor.advisorVan Zijl, L.en_ZA
dc.contributor.advisorKroon, R. S.en_ZA
dc.contributor.authorKriek, Andreen_ZA
dc.contributor.otherUniversity of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Institute for Applied Computer Science.
dc.date.accessioned2009-02-12T14:54:08Zen_ZA
dc.date.accessioned2010-06-01T08:58:50Z
dc.date.available2009-02-12T14:54:08Zen_ZA
dc.date.available2010-06-01T08:58:50Z
dc.date.issued2009-03
dc.identifier.urihttp://hdl.handle.net/10019.1/2810
dc.descriptionThesis (MSc (Mathematical Sciences. Computer Science))--University of Stellenbosch, 2009.
dc.description.abstractSince 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.en_ZA
dc.language.isoenen_ZA
dc.publisherStellenbosch : University of Stellenbosch
dc.subjectSoccer formation inferenceen_ZA
dc.subjectTheses -- Computer scienceen_ZA
dc.subjectDissertations -- Computer scienceen_ZA
dc.subject.lcshRobotics in sportsen_ZA
dc.subject.lcshSoccer -- Computer simulationen_ZA
dc.subject.otherMathematical Sciencesen_ZA
dc.subject.otherComputer Scienceen_ZA
dc.titleRoboCup formation modelingen_ZA
dc.typeThesisen_ZA
dc.rights.holderUniversity of Stellenbosch


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