Abstract：Based on the brief introduction of RoboCup Federation and FIRA(Federation of International Robot-Soccer Association), we discuss RoboCup tournaments in details. The architectures and correlative techniques of some RoboCup teams are also introduced in this paper. The key techniques include:distributed artificial intelligence(DAI), multi-agent systems(MAS), machine learning & decision making and so on. This paper is meaningful for researchers to establish robot soccer team and enhance the research on correlative fields.
[1] Hiroki Kitano, Minoru Asada, Yasuo Kuniyoshi, Itsuki Noda, Eiichi Osawa. Hitoshi Matsubara RoboCup:A ChallengeProblem for Al and Robotics, RoboCup-97:Robot Soccer World Cup I, 1-19, Springer, 1998. [2] Itsuki Noda et al. Soccer Server Manual. RoboCup Federation. http://www. roboeup. org. [3] Peter Stone. Layered Learning in Multi-agent System. PHD dissertation, school of computer science, CMU, 1998. [4] Jorg P, Muller. The Design of Intelligent Agent. Springer, 1996. [5] Hans-Dieter Burkhard, Markus Hannebauer. Jan Wendler. AT Humboldt-Development, Practice and Theory.RoboCup-97:Robot Soccer World Cup I, 1-19, Springer, 1998. [6] Jukka Riekki, Reactive Task Execution of a Mobile Robot. Infortech Oulu and Department of Electrical Engineering,OULU, 1998. [7] Hiroki Kitano. RoboCup-98:Robot Soccer World Cup II. Springer, 1998.
