• DocumentCode
    2244129
  • Title

    Obstacle-navigation strategy of a wire-suspend robot for power transmission lines

  • Author

    Li, Tang ; Shuangfei, Fu ; Lijin, Fang ; Hongguang, Wang

  • Author_Institution
    Robotics Lab., Chinese Acad. of Sci., Shenyang
  • fYear
    2004
  • fDate
    22-26 Aug. 2004
  • Firstpage
    82
  • Lastpage
    87
  • Abstract
    This paper presents an obstacle navigation strategy for a wire-suspend robot for power transmission lines based on a novel movement mechanism. The kinematics of the mobile robot and the process of obstacle navigation control are analyzed in detail. A realtime expert system with hybrid architecture C language integrated production system (CLIPS) is described as the mobile robot control system. The realtime expert system is developed by CLIPS and C language, so it has powerful logical reasoning ability and data processing ability. And the expert system can instruct the mobile robot to navigate obstacles autonomously on overhead ground wires. A realtime process and a conflict elimination algorithm realize the realtime ability of the control system. The robot task plan has two modes: layered plan and direct control. The robot can study online or offline, and when it encounter the same obstacles, it can navigate them quickly
  • Keywords
    collision avoidance; expert systems; mobile robots; power transmission lines; robot kinematics; C language integrated production system; autonomous obstacle navigation; conflict elimination; mobile robot kinematics; obstacle navigation control; power transmission lines; realtime expert system; wire-suspend robot; Control systems; Data processing; Expert systems; Kinematics; Mobile robots; Navigation; Power transmission lines; Production systems; Robot control; Wires; CLIPS; Mobile robot; autonomous obstacle-navigation; expert system; over head ground wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics, 2004. ROBIO 2004. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    0-7803-8614-8
  • Type

    conf

  • DOI
    10.1109/ROBIO.2004.1521756
  • Filename
    1521756