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Real-time Adaptive Learning from Observation for RoboCup Soccer Agents

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  1. Chapter and Conference Paper

    Zeng01 Team Description: Formation Decision Method Using Game Theory

    The combined team, Zeng01, have players developed by several subject of investigation. We have analyzed better player combination based on game theory. We look up the formation property through changing a oppo...

    Takuya Morishita, Hiroki Shimora in RoboCup 2001: Robot Soccer World Cup V (2002)

  2. Chapter and Conference Paper

    Open Zeng: an Open Style Distributed Semi-Cooperative Team Development Project from Japan

    The team Open Zeng is a quite interesting and unique project to study subjects on heterogeneous cooperative teamwork behavior. Twelve players from seven different university and institutions were gatherd and p...

    Junji Nishino, Takuya Morishita, Takenori Kubo in RoboCup 2000: Robot Soccer World Cup IV (2001)

  3. Chapter and Conference Paper

    Linked99

    Figure 1 describes the overview of our team’s system. The concept of our team is to employ simple, inexpensive robots and to control them by high-speed and actual vision feedback. The special hardware for colo...

    Junichi Akita, Jun Sese, Toshihide Saka in RoboCup-99: Robot Soccer World Cup III (2000)

  4. Chapter and Conference Paper

    Zeng99: RoboCup simulation team with Hierarchical Fuzzy Intelligent Control and Cooperative Development

    This paper discusses the design of the team Zeng99. The goal of team Zeng99 is to show a performance of Hierarchical Fuzzy Intelligent Control system in the field of multi agent problems. It worked well at Rob...

    Junji Nishino, Tomomi Kawarabayashi in RoboCup-99: Robot Soccer World Cup III (2000)