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The incremental development of a synthetic multi-agent system: the UvA Trilearn 2001 robotic soccer simulation team

Remco de Boer and Jelle R. Kok. The incremental development of a synthetic multi-agent system: the UvA Trilearn 2001 robotic soccer simulation team. Master's Thesis, University of Amsterdam, The Netherlands,2002.

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Abstract

This thesis describes the incremental development and main features of a synthetic multi-agent system called UvA Trilearn 2001. UvA Trilearn 2001 is a robotic soccer simulation team that consists of eleven autonomous software agents. It operates in a physical soccer simulation system called soccer server which enables teams of autonomous software agents to play a game of soccer against each other. The soccer server provides a fully distributed and real-time multi-agent environment in which teammates have to cooperate to achieve their common goal of winning the game. The simulation models many real-world complexities such as noise in object movement, noisy sensors and actuators, limited physical abilities and restricted communication. This thesis addresses the various components that make up the UvA Trilearn 2001 robotic soccer simulation team and provides an insight into the way in which these components have been (incrementally) developed. Our main contributions include a multi-threaded three-layer agent architecture, a flexible agent-environment synchronization scheme, accurate methods for object localization and velocity estimation using particle filters, a layered skills hierarchy, a scoring policy for simulated soccer agents and an effective team strategy. Ultimately, the thesis can be regarded as a handbook for the development of a complete robotic soccer simulation team which also contains an introduction to robotic soccer in general as well as a survey of prior research in soccer simulation. As such it provides a solid framework which can serve as a basis for future research in the field of simulated robotic soccer. Throughout the project UvA Trilearn 2001 has participated in two international robotic soccer competitions: the team reached 5th place at the German Open 2001 and 4th place at the official RoboCup-2001 world championship.

BibTeX Entry

@mastersthesis{Boe7,
  author =       {Remco de Boer and Jelle R. Kok},
  title =        {The incremental development of a synthetic
                  multi-agent system: the {UvA} {T}rilearn 2001 robotic
                  soccer simulation team},
  institution =  {Informatics Institute, University of Amsterdam},
  school =       {University of Amsterdam},
  address =      {The Netherlands},
  year =         {2002},
  month =        feb,
  postscript =   {2002/mastersthesis.ps.gz},
  pdf =          {2002/mastersthesis.pdf},
  abstract =     {This thesis describes the incremental development
                  and main features of a synthetic multi-agent system
                  called UvA Trilearn 2001. UvA Trilearn 2001 is a
                  robotic soccer simulation team that consists of
                  eleven autonomous software agents. It operates in a
                  physical soccer simulation system called soccer
                  server which enables teams of autonomous software
                  agents to play a game of soccer against each
                  other. The soccer server provides a fully
                  distributed and real-time multi-agent environment in
                  which teammates have to cooperate to achieve their
                  common goal of winning the game. The simulation
                  models many real-world complexities such as noise in
                  object movement, noisy sensors and actuators,
                  limited physical abilities and restricted
                  communication. This thesis addresses the various
                  components that make up the UvA Trilearn 2001
                  robotic soccer simulation team and provides an
                  insight into the way in which these components have
                  been (incrementally) developed. Our main
                  contributions include a multi-threaded three-layer
                  agent architecture, a flexible agent-environment
                  synchronization scheme, accurate methods for object
                  localization and velocity estimation using particle
                  filters, a layered skills hierarchy, a scoring
                  policy for simulated soccer agents and an effective
                  team strategy. Ultimately, the thesis can be
                  regarded as a handbook for the development of a
                  complete robotic soccer simulation team which also
                  contains an introduction to robotic soccer in
                  general as well as a survey of prior research in
                  soccer simulation. As such it provides a solid
                  framework which can serve as a basis for future
                  research in the field of simulated robotic
                  soccer. Throughout the project UvA Trilearn 2001 has
                  participated in two international robotic soccer
                  competitions: the team reached 5th place at the
                  German Open 2001 and 4th place at the official
                  RoboCup-2001 world championship.}
}

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