UvA Trilearn 2002 team description
Jelle R. Kok, Remco de Boer, Nikos Vlassis, and F.C.A. Groen. UvA Trilearn 2002 team description. In RoboCup 2002: Robot Soccer World Cup VI, pp. 549, Springer-Verlag, Fukuoka, Japan, 2002.
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Abstract
This paper describes the main features of the UvA Trilearn 2002 soccer simulation team. This team is an extension over UvA Trilearn 2001 which participated for the first time at the RoboCup-2001 competition. The main concepts of UvA Trilearn 2001 will be addressed briefly, followed by the improvements introduced in UvA Trilearn 2002. These include the improved localization methods using particle filters and the action selection method based on a priority-confidence model. Finally we will give some conclusions and describe future research directions.
BibTeX Entry
@InProceedings{Kok02robocupB, author = {Jelle R. Kok and Remco de Boer and Nikos Vlassis and F.C.A. Groen}, title = {{U}v{A} {T}rilearn 2002 team description}, booktitle = {RoboCup 2002: Robot Soccer World Cup VI}, editor = {G. Kaminka and P.U. Lima and R. Rojas}, address = {Fukuoka, Japan}, year = {2002}, pages = {549}, publisher = {Springer-Verlag}, postscript = {2002/Kok02robocupB.ps.gz}, pdf = {2002/Kok02robocupB.pdf}, abstract = {This paper describes the main features of the UvA Trilearn 2002 soccer simulation team. This team is an extension over UvA Trilearn 2001 which participated for the first time at the RoboCup-2001 competition. The main concepts of UvA Trilearn 2001 will be addressed briefly, followed by the improvements introduced in UvA Trilearn 2002. These include the improved localization methods using particle filters and the action selection method based on a priority-confidence model. Finally we will give some conclusions and describe future research directions. } }
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