UvA Trilearn 2003 team description

Jelle R. Kok, Nikos Vlassis, and F.C.A. Groen. UvA Trilearn 2003 team description. In Proceedings CD RoboCup 2003, Springer-Verlag, Padua, Italy, July 2003.
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Abstract

This paper describes the main features of the UvA Trilearn soccer simulation team, which participated for the first time at the RoboCup-2001 competition. The main concepts of the previous teams will be addressed, followed by the improvements introduced in UvA Trilearn 2003. These include an extension of the intercept skill, improved passing behavior and especially the usage of coordination graphs to specify the coordination requirements between the different agents. Finally, we will give some conclusions and describe future research directions.

BibTeX Entry

@InProceedings{Kok03robocup,
  author =       {Jelle R. Kok and Nikos Vlassis and F.C.A. Groen},
  title =        {{U}v{A} {T}rilearn 2003 team description},
  booktitle =    {Proceedings CD RoboCup 2003},
  year =         {2003},
  month =        jul,
  address =      {Padua, Italy},
  editor =       {D. Polani and B. Browning and A. Bonarini and
                  K. Yoshida},
  publisher =    {Springer-Verlag},
  wwwnote =      {<a href=
                  "http://www.springer.de/comp/lncs/index.html">
                  Publisher's Webpage</a>&copy Springer-Verlag},
  postscript =   {2003/Kok03robocup.ps.gz},
  pdf =          {2003/Kok03robocup.pdf},
  abstract =     { This paper describes the main features of the UvA
                  Trilearn soccer simulation team, which participated
                  for the first time at the RoboCup-2001
                  competition. The main concepts of the previous teams
                  will be addressed, followed by the improvements
                  introduced in UvA Trilearn 2003. These include an
                  extension of the intercept skill, improved passing
                  behavior and especially the usage of coordination
                  graphs to specify the coordination requirements
                  between the different agents. Finally, we will give
                  some conclusions and describe future research
                  directions.}
}

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