RoboCup formation modeling
Date
2009-03
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Stellenbosch : University of Stellenbosch
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.
Description
Thesis (MSc (Mathematical Sciences. Computer Science))--University of Stellenbosch, 2009.
Keywords
Soccer formation inference, Theses -- Computer science, Dissertations -- Computer science