RoboCup formation modeling
dc.contributor.advisor | Van Zijl, L. | en_ZA |
dc.contributor.advisor | Kroon, R. S. (Steve) | en_ZA |
dc.contributor.author | Kriek, Andre | en_ZA |
dc.contributor.other | University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Institute for Applied Computer Science. | |
dc.date.accessioned | 2009-02-12T14:54:08Z | en_ZA |
dc.date.accessioned | 2010-06-01T08:58:50Z | |
dc.date.available | 2009-02-12T14:54:08Z | en_ZA |
dc.date.available | 2010-06-01T08:58:50Z | |
dc.date.issued | 2009-03 | |
dc.description | Thesis (MSc (Mathematical Sciences. Computer Science))--University of Stellenbosch, 2009. | |
dc.description.abstract | 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. | en_ZA |
dc.identifier.uri | http://hdl.handle.net/10019.1/2810 | |
dc.language.iso | en | en_ZA |
dc.publisher | Stellenbosch : University of Stellenbosch | |
dc.rights.holder | University of Stellenbosch | |
dc.subject | Soccer formation inference | en_ZA |
dc.subject | Theses -- Computer science | en_ZA |
dc.subject | Dissertations -- Computer science | en_ZA |
dc.subject.lcsh | Robotics in sports | en_ZA |
dc.subject.lcsh | Soccer -- Computer simulation | en_ZA |
dc.subject.other | Mathematical Sciences | en_ZA |
dc.subject.other | Computer Science | en_ZA |
dc.title | RoboCup formation modeling | en_ZA |
dc.type | Thesis | en_ZA |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- kriek_robocup_2009.pdf
- Size:
- 13.33 MB
- Format:
- Adobe Portable Document Format
- Description: