• DocumentCode
    2832810
  • Title

    Multi-robot avoidance based on co-evolution computation

  • Author

    Min, Huaqing ; Zheng, XiJing ; Lu, Yansheng

  • Author_Institution
    Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou
  • fYear
    2005
  • fDate
    16-16 Nov. 2005
  • Lastpage
    692
  • Abstract
    The main attack strategy in an intense robotic soccer match is for an attack robot (AR) to avoid the competing side´s threat and to avoid the most threatening defensive robot of the opponent to reach the objective and to effectively initiate an attack with the help of the cooperation robot (CR). This paper defines an attacking model and a cooperative model and their algorithms. Two co-evolution computation (CEC) populations of robot are also designed: one is denoted as AR subset, the other CR subset. Based on this definition, the paper proposes a new multiple robots avoidance based on CEC method (or MRACEC for short). A theoretical analysis indicates that the MRACEC method has better robustness and optimizing ability
  • Keywords
    collision avoidance; mobile robots; multi-robot systems; attack robot; coevolution computation; cooperation robot; multirobot avoidance; robotic soccer match; Algorithm design and analysis; Artificial intelligence; Chromium; Computer science; History; Intelligent robots; Optimization methods; Robot kinematics; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2488-5
  • Type

    conf

  • DOI
    10.1109/ICTAI.2005.88
  • Filename
    1563019