Design of a Multi Agent Architecture for Robot Soccer. A Case Study

Mannes Poel, R.A. Seesink, Albert L. Schoute, W. Dierssen, N. Kooij

Abstract

A Multi Agent System (MAS) for the FIRA Mirosot League is presented. This MAS allows a general number of players and is used in the 5 against 5 and 7 against 7 competition. In the MAS there is coach agent and n (the number of robots in the team) player agents. There is a one to one correspondence between the player agents and the team robots on the field. The player agents use indirect communication, such as field positioning, and the coach in order to communicate with each other. The role of the coach is to assign roles to the different player agents and to grant resources, such as the ball, to the player agents. Keywords: robot soccer, agents, learning.
Original languageUndefined
Title of host publicationThe European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE) 2004
Pages364-370
Number of pages7
StatePublished - Jun 2004

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Multi agent systems
Robots
Communication

Keywords

  • IR-63390
  • EWI-6755
  • METIS-221330

Cite this

Poel, M., Seesink, R. A., Schoute, A. L., Dierssen, W., & Kooij, N. (2004). Design of a Multi Agent Architecture for Robot Soccer. A Case Study. In The European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE) 2004 (pp. 364-370)

Poel, Mannes; Seesink, R.A.; Schoute, Albert L.; Dierssen, W.; Kooij, N. / Design of a Multi Agent Architecture for Robot Soccer. A Case Study.

The European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE) 2004. 2004. p. 364-370.

Research output: Scientific - peer-reviewConference contribution

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title = "Design of a Multi Agent Architecture for Robot Soccer. A Case Study",
abstract = "A Multi Agent System (MAS) for the FIRA Mirosot League is presented. This MAS allows a general number of players and is used in the 5 against 5 and 7 against 7 competition. In the MAS there is coach agent and n (the number of robots in the team) player agents. There is a one to one correspondence between the player agents and the team robots on the field. The player agents use indirect communication, such as field positioning, and the coach in order to communicate with each other. The role of the coach is to assign roles to the different player agents and to grant resources, such as the ball, to the player agents. Keywords: robot soccer, agents, learning.",
keywords = "IR-63390, EWI-6755, METIS-221330",
author = "Mannes Poel and R.A. Seesink and Schoute, {Albert L.} and W. Dierssen and N. Kooij",
note = "Imported from HMI",
year = "2004",
month = "6",
isbn = "3-86130-368-X",
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booktitle = "The European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE) 2004",

}

Poel, M, Seesink, RA, Schoute, AL, Dierssen, W & Kooij, N 2004, Design of a Multi Agent Architecture for Robot Soccer. A Case Study. in The European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE) 2004. pp. 364-370.

Design of a Multi Agent Architecture for Robot Soccer. A Case Study. / Poel, Mannes; Seesink, R.A.; Schoute, Albert L.; Dierssen, W.; Kooij, N.

The European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE) 2004. 2004. p. 364-370.

Research output: Scientific - peer-reviewConference contribution

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T1 - Design of a Multi Agent Architecture for Robot Soccer. A Case Study

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AU - Seesink,R.A.

AU - Schoute,Albert L.

AU - Dierssen,W.

AU - Kooij,N.

N1 - Imported from HMI

PY - 2004/6

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N2 - A Multi Agent System (MAS) for the FIRA Mirosot League is presented. This MAS allows a general number of players and is used in the 5 against 5 and 7 against 7 competition. In the MAS there is coach agent and n (the number of robots in the team) player agents. There is a one to one correspondence between the player agents and the team robots on the field. The player agents use indirect communication, such as field positioning, and the coach in order to communicate with each other. The role of the coach is to assign roles to the different player agents and to grant resources, such as the ball, to the player agents. Keywords: robot soccer, agents, learning.

AB - A Multi Agent System (MAS) for the FIRA Mirosot League is presented. This MAS allows a general number of players and is used in the 5 against 5 and 7 against 7 competition. In the MAS there is coach agent and n (the number of robots in the team) player agents. There is a one to one correspondence between the player agents and the team robots on the field. The player agents use indirect communication, such as field positioning, and the coach in order to communicate with each other. The role of the coach is to assign roles to the different player agents and to grant resources, such as the ball, to the player agents. Keywords: robot soccer, agents, learning.

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BT - The European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE) 2004

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Poel M, Seesink RA, Schoute AL, Dierssen W, Kooij N. Design of a Multi Agent Architecture for Robot Soccer. A Case Study. In The European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE) 2004. 2004. p. 364-370.