• DocumentCode
    3550061
  • Title

    Obstacle-navigation control for a mobile robot suspended on overhead ground wires

  • Author

    Li, Tang ; Lijin, Fang ; Hongguang, Wang

  • Author_Institution
    Robotics Lab., Chinese Acad. of Sci., Shenyang, China
  • Volume
    3
  • fYear
    2004
  • fDate
    6-9 Dec. 2004
  • Firstpage
    2082
  • Abstract
    This paper presents an obstacle-navigation control strategy for a mobile robot suspended on overhead ground wires of 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. This paper presents to develop robot expert system using hybrid programming of C language integrated production system (CLIPS) and C language, and the robot expert system has powerful logical reasoning ability and data processing ability. The robot control modes have layered planning and direct control. This paper describes the robot expert system with hybrid architecture and analyzed decision-making of obstacle-navigation in layered planning mode in detail. The robot can learn online or offline, and when it encounter the same obstacles, it can navigate them quickly. Obstacle-navigation control is the difficult point of the type of wire-suspended robot and the expert system can instruct the mobile robot to navigate obstacles autonomously on overhead ground wires.
  • Keywords
    collision avoidance; expert systems; inference mechanisms; learning (artificial intelligence); mobile robots; motion control; robot kinematics; C language integrated production system; CLIPS; decision making; logic reasoning; mobile robot; obstacle-navigation control; offline learning; online learning; overhead ground wires; power transmission lines; robot expert system; robot kinematics; robot movement mechanism; Expert systems; Kinematics; Logic programming; Mobile robots; Navigation; Power system planning; Power transmission lines; Process control; Robot programming; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
  • Print_ISBN
    0-7803-8653-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2004.1469485
  • Filename
    1469485