• DocumentCode
    2669901
  • Title

    Motion planning for multiple obstacles avoidance of autonomous mobile robot using hierarchical fuzzy rules

  • Author

    Aoki, Takeshi ; Matsuno, Moriyasu ; Suzuki, Tatsuya ; Okuma, Shigeru

  • Author_Institution
    Nagoya Municipal Ind. Res. Inst., Japan
  • fYear
    1994
  • fDate
    2-5 Oct 1994
  • Firstpage
    265
  • Lastpage
    271
  • Abstract
    This paper presents the motion planning for an autonomous mobile robot to move toward the goal avoiding multiple moving obstacles. The autonomous robot can control itself with both velocity and steering controls decided by the fuzzy algorithm. The algorithm has a hierarchical structure which consists of three levels involving fuzzy logic modules. In the lower level of the algorithm, the control inputs of velocity and steering are decided independently. In the middle level, the module called fuzzy balancer adjusts and combines these inputs in order not to conflict each other. In the upper level, the control input to the goal and multicontrol inputs for multiple obstacles are combined to achieve the desired motion. In this paper, we propose the algorithm of hierarchical fuzzy rules and show the simulation results
  • Keywords
    fuzzy control; fuzzy logic; intelligent control; mobile robots; navigation; path planning; position control; autonomous mobile robot; fuzzy balancer; fuzzy logic modules; hierarchical fuzzy rules; hierarchical structure; motion planning; multiple obstacles avoidance; steering control; Control systems; Fuzzy control; Logic; Mobile robots; Motion control; Motion planning; Open systems; Proportional control; Robot control; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems, 1994. IEEE International Conference on MFI '94.
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7803-2072-7
  • Type

    conf

  • DOI
    10.1109/MFI.1994.398454
  • Filename
    398454