RoboCup 2004 Field Setup

Positioning to Win: A Dynamic Role Assignment and FormationPositioning System

Patrick MacAlpine, Francisco Barrera, and Peter Stone. Positioning to Win: A Dynamic Role Assignment and FormationPositioning System. In Xiaoping Chen, Peter Stone, Luis Enrique Sucar, and Tijn Van der Zant, editors, RoboCup-2012: Robot Soccer World Cup XVI, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2013.
Accompanying video at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2011/html/positioning.html

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Abstract

This paper presents a dynamic role assignment and formation positioning system used by the 2011 RoboCup 3D simulation league champion UT Austin Villa. This positioning system was a key component in allowing the team to win all 24 games it played at the competition during which the team scored 136 goals and conceded none. The positioning system was designed to allow for decentralized coordination among physically realistic simulated humanoid soccer playing robots in the partially observable, non-deterministic, noisy, dynamic, and limited communication setting of the RoboCup 3D simulation league simulator. Although the positioning system is discussed in the context of the RoboCup 3D simulation environment, it is not domain specific and can readily be employed in other RoboCup leagues as it generalizes well to many realistic and real-world multiagent systems.

BibTeX Entry

@incollection{LNAI12-MacAlpine,
author = {Patrick MacAlpine and Francisco Barrera and Peter Stone},
title = {Positioning to Win: A Dynamic Role Assignment and Formation
Positioning System},
booktitle= "{R}obo{C}up-2012: Robot Soccer World Cup {XVI}",
Editor={Xiaoping Chen and Peter Stone and Luis Enrique Sucar and Tijn Van der Zant},
Publisher="Springer Verlag",
address="Berlin",
year="2013",
series="Lecture Notes in Artificial Intelligence",
abstract= {
This paper presents a dynamic role assignment and formation positioning
system used by the 2011 RoboCup 3D simulation league champion UT Austin
Villa. This positioning system was a key component in allowing the team to
win all 24 games it played at the competition during which the team scored
136 goals and conceded none. The positioning system was designed to allow
for decentralized coordination among physically realistic simulated
humanoid soccer playing robots in the partially observable,
non-deterministic, noisy, dynamic, and limited communication setting of the
RoboCup 3D simulation league simulator. Although the positioning system is
discussed in the context of the RoboCup 3D simulation environment, it is
not domain specific and can readily be employed in other RoboCup leagues as
it generalizes well to many realistic and real-world multiagent systems.
},
}

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