• DocumentCode
    1725847
  • Title

    A survey of cooperative hunting control algorithms for multi-AUV systems

  • Author

    Cao Xiang ; Zhu Daqi

  • Author_Institution
    Lab. of Underwater Vehicles & Intell. Syst., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2013
  • Firstpage
    5791
  • Lastpage
    5795
  • Abstract
    Cooperative multi-robot systems have become a particularly popular research focus in recent years for their potential applications. In this paper, the current research and development situations both home and abroad in this area, specifically, in the multi-AUV hunting systems are systematically surveyed. Firstly, the related basic theories as well as research significance are briefly introduced. Then the research contents and algorithms are presented with their advantages and limitations commented. At last, the major development trends for future study are discussed.
  • Keywords
    autonomous underwater vehicles; cooperative systems; multi-robot systems; path planning; autonomous underwater vehicle; cooperative hunting control algorithms; cooperative multirobot systems; multiAUV hunting systems; research and development situations; Algorithm design and analysis; Heuristic algorithms; Mobile robots; Planning; Resource management; Robot kinematics; Autonomous Underwater Vehicle(AUV); Formation of the Dynamic Alliance; Hunting Control Algorithms; Pursuing; Searching for Evaders;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640452