From the RoboCup Website: “The Robot World Cup Initiative (RoboCup) is an attempt to foster AI and intelligent robotics research by providing a standard problem where wide range of technologies can be integrated and examined. For this purpose, RoboCup chose to use soccer game, and organize RoboCup: The Robot World Cup Soccer Games and Conferences.” The aim of the paper is provide an AI research...

The Robot World Cup Initiative (RoboCup) is an international joint project to promote science and technology on intelligence robotics, AI, and related field with specific goal of building fully humanoid robot that can win human world cup champion by 2050, and to apply technologies developed in this activity to socially significant issues such as rescue, and for next generation industries. This ...

Robotic soccer, and RoboCup in particular, has been a research topic for almost a decade, with an upsurge during the last few years. RoboCup is usually viewed as being a means to research, education, and dissemination. We analyse RoboCup in each of these perspectives. Firstly, we show that RoboCup is a good research challenge. Second, we conclude that RoboCup is not always useful in education. ...

In WrightEagle2009, we continue to research based on the previous WrightEagle 2D soccer simulation team. WrightEagle has won the runner-up of RoboCup 2008 and Robocup 2007, the Champion of RoboCup 2006, and the runner-up of RoboCup 2005. In this paper, we mainly present the team structure of our new team WE2009, and the new techniques since the last competitions.

R oboCup-2001, the fifth international RoboCup competition and conference, was held for the first time in the United States, following RoboCup-2000 in Melbourne, RoboCup-1999 in Stockholm, RoboCup1998 in Paris, and RoboCup-1997 in Osaka. RoboCup is a research-oriented initiative that pioneered the field of multirobot research starting in 1996 [1]. In those days, most robotics research was focus...

The RoboCup research initiative has established synthetic and robotic soccer as testbeds for pursuing research challenges in Arti cial Intelligence and robotics This extended abstract focuses on teamwork and learning two of the multi agent research challenges highlighted in RoboCup To address the challenge of teamwork we discuss the use of a domain independent explicit model of team work and an...