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Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03100578" target="_blank" >RIV/68407700:21230/04:03100578 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Communication in Robot-Soccer Game

Popis výsledku v původním jazyce

We have developed a method of representing robotic soccer game. We used this representation for controlling robots playing soccer and for learning game strategies. Our approach to robot soccer is to view it as a local interaction game, which reduces theneed for centralized control. In this paper we describe both hardware and software implementation that is used by robots. We described what we called the virtual grid. The virtual grid is much more efficient than representation of game using natural coordinates of robots. We show how this representation can be efficiently used for a description of game strategies, which can be directly used for a faster control of robots. We also show how a game strategy can be learned and illustrate our approach usingthe latent semantic analysis. Strategy learning is important both for developing successful players and also for discovering strategies of the opponent team.

Název v anglickém jazyce

Communication in Robot-Soccer Game

Popis výsledku anglicky

We have developed a method of representing robotic soccer game. We used this representation for controlling robots playing soccer and for learning game strategies. Our approach to robot soccer is to view it as a local interaction game, which reduces theneed for centralized control. In this paper we describe both hardware and software implementation that is used by robots. We described what we called the virtual grid. The virtual grid is much more efficient than representation of game using natural coordinates of robots. We show how this representation can be efficiently used for a description of game strategies, which can be directly used for a faster control of robots. We also show how a game strategy can be learned and illustrate our approach usingthe latent semantic analysis. Strategy learning is important both for developing successful players and also for discovering strategies of the opponent team.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the International Conference on Communications in Computing

ISBN

1-932415-36-X

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

295-301

Název nakladatele

CSREA Press

Místo vydání

Las Vegas

Místo konání akce

Las Vegas

Datum konání akce

21. 6. 2004

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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