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Robocup Soccer
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2013 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Robocup Soccer (English)
Abstract [en]

There have been an increasing interest in combining artifical

intelligence with sports in the last decade. In the

Robocup Simulation League soccer is simulated and a championship

is held annually where several multi agent systems

compete. What similarities and differences can be found

between simulated soccer and real soccer? How is an effective

team created? This essay examines methods of improvement

by analyzing previous research and suggest new

possible solutions.

The results of these litterary studies, identified similarities

in the importance of role distributions on the field and

the need for efficient tactics. The most significant difference

found is that localization is a task that requires more

effort in a simulation environment.

Several methods implemented in successful teams were

identified and findings from this essay made several contributions

to the current litterature.

Abstract [sv]

Intresset att kombinera artificiell intelligens med sport har

ökat under det senaste decenniet. I Robocup Simulation League

simuleras fotboll och ett mästerskap hålls årligen där

flera multi-agent system tävlar. Vilka likheter och skillnader

finns mellan simulerad fotboll och verklig fotboll? Hur

skapas ett effektivt lag? Denna uppsats undersöker metoder

för förbättring genom att analysera tidigare forskning

och föreslå nya möjliga lösningar.

Resultaten av dessa litterär studier identifierade likheter

i vikten av rolldistributioner på fältet och behovet av en

effektiv taktik. Den viktigaste skillnaden som identifierades

är att lokalisering är en uppgift som kräver mer ansträngning

i en simuleringsmiljö.

Flera metoder som implementerats i framgångsrika team

identifierades och resultaten från denna uppsats gjorde flera

bidrag till den aktuella litteraturen.

Place, publisher, year, edition, pages
Kandidatexjobb CSC, K13053
National Category
Computer Science
URN: urn:nbn:se:kth:diva-136239OAI: diva2:675616
Educational program
Master of Science in Engineering - Computer Science and Technology
Available from: 2013-12-13 Created: 2013-12-04 Last updated: 2013-12-13Bibliographically approved

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