• DocumentCode
    1624238
  • Title

    Self-adaptation in intelligent formation behaviors of multiple robots based on fuzzy control

  • Author

    Kubota, Naoyuki ; Aizawa, Naohide

  • Author_Institution
    Dept. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan
  • fYear
    2009
  • Firstpage
    900
  • Lastpage
    905
  • Abstract
    Recently, multi-agent systems have been discussed to realize a large size of distributed autonomous system. This paper proposes an intelligent control method for formation behaviors of multi-robot. First of all, we discuss the current state of researches on formation behaviors in multi-robot. Next, we propose a multi-objective behavior coordination to realize formation behavior based on the integration of the intelligent control from the local viewpoint of individual intelligence and the spring model from the global viewpoint of collective intelligence. Next, we propose a self-adaptation method in complicated environments. Finally, we discuss the effectiveness of the proposed method through computer simulation results.
  • Keywords
    distributed control; fuzzy control; intelligent robots; mobile robots; multi-agent systems; multi-robot systems; distributed autonomous system; fuzzy control; intelligent control; intelligent control method; intelligent formation behavior; multi-agent system; multi-robot system; self-adaptation method; Artificial intelligence; Collision avoidance; Fuzzy control; Intelligent control; Intelligent robots; Intelligent systems; Multiagent systems; Psychology; Robot kinematics; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
  • Conference_Location
    Jeju Island
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-3596-8
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2009.5277154
  • Filename
    5277154