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.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/2810 |
| Date | 03 1900 |
| Creators | Kriek, Andre |
| Contributors | Van Zijl, L., Kroon, R. S., University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Institute for Applied Computer Science. |
| Publisher | Stellenbosch : University of Stellenbosch |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Rights | University of Stellenbosch |
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