| |
|
RoboCup
Introduction
The Robot World Cup Initiative (RoboCup) is an attempt to foster AI and
intelligent robotics research by providing a standard problem in which a wide
range of technologies can be integrated and examined. RoboCup's ultimate goal is
to develop a team of fully autonomous humanoid robots that can beat the human
world champion soccer team. In order to realize this goal several competitions
have been set up which all focus on different aspects of the overall problem.
One of these competitions is the Simulation League which
concentrates mainly on RoboCup aspects at a high level of abstraction such as
team strategy and learning capabilities.
UvA Trilearn UvA Trilearn was initially built for a
graduation project of two students, Jelle Kok and Remco de Boer, in
the fields of Computer Science and Artificial Intelligence (resulting
master's thesis can be found here). This team (UvA Trilearn 2001) has
participated in the German Open 2001 in Paderborn and in the World
Championship 2001 in Seattle (USA). After graduation, Remco de Boer
decided to leave the University. Jelle Kok stayed as a PhD-student at
the Intelligent
Autonomous Systems Group (IAS) of the University of Amsterdam and
continued the work on UvA Trilearn together with his supervisor Nikos Vlassis. This
resulted in UvA Trilearn 2002 that participated at the German Open
2002 and was able to win this Championship. During the RoboCup-2002
competition UvA Trilearn again just failed to reach the podium and
again became fourth. UvA Trilearn 2003, however, participated in three
tournaments (German Open, American Open and RoboCup-2003) and won all
three of them!
The information about UvA Trilearn has been sorted by year:
|
