• DocumentCode
    2885810
  • Title

    Research on Strategy of Robot Soccer Game Based on Opponent Information

  • Author

    Zhao, Xiao-Jun ; Zhang, Jing-Tao ; Li, Wei-jie ; Li, Yun-Fei

  • Author_Institution
    Robot Res. Center, Hubei Univ., Baoding
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    230
  • Lastpage
    234
  • Abstract
    The decision-making subsystem is the kernel part of the robot-soccer system. By analyzing the strategy of role assignment of robot soccer, the paper has designed a function expression to valuate the capability of controlling the ball of the team-members. After that, a cooperating strategy based on opponent information is proposed, which can assist the shooter much better, avoid obstacle more successfully and destroy opponent attack much more availably. Furthermore, the strategy can enhance the team-members´ flexibility and competitive efficiency. Finally, the simulation researches are given to demonstrate that the strategy is feasible and effective
  • Keywords
    collision avoidance; decision making; mobile robots; multi-agent systems; robots; sport; cooperating strategy; decision-making subsystem; function expression; obstacle avoidance; opponent information; robot soccer game; role assignment strategy; Artificial intelligence; Computer vision; Cybernetics; Decision making; Educational institutions; Game theory; Intelligent robots; Kernel; Machine learning; Optimal control; Robot kinematics; Service robots; Multi-agent; cooperating; decision-making; opponent information; robot soccer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.258959
  • Filename
    4028064