• DocumentCode
    2255811
  • Title

    Reactive navigation of autonomous guided vehicle using fuzzy logic

  • Author

    Ismail, Ir Idris ; Nordin, Mohd Fariz

  • fYear
    2002
  • fDate
    2002
  • Firstpage
    153
  • Lastpage
    156
  • Abstract
    In this paper, reactive navigation of an autonomous guided vehicle (AGV) is described using the fuzzy logic technique. Typically AGV has the ability to operate and move purposely without human intervention and reactive navigation is one of the robot navigation methods used in dealing with the uncertainties and ambiguity of the information of the path that the robot traverses. Fuzzy logic is chosen to control the AGV due to its strength in incorporating the knowledge of an experienced operator. Two fuzzy controllers are designed for controlling the steering angle and speed of the AGV. These will be based on the distance and angle of obstacles. The navigation simulation will be performed using MATLAB.
  • Keywords
    automatic guided vehicles; digital simulation; fuzzy control; mobile robots; navigation; position control; velocity control; AGV control; MATLAB; autonomous guided vehicle; fuzzy logic; navigation simulation; reactive navigation; robot navigation methods; speed control; steering angle control; Control systems; Fuzzy control; Fuzzy logic; Humans; Intelligent sensors; Mathematical model; Mobile robots; Navigation; Predictive models; Remotely operated vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research and Development, 2002. SCOReD 2002. Student Conference on
  • Print_ISBN
    0-7803-7565-3
  • Type

    conf

  • DOI
    10.1109/SCORED.2002.1033080
  • Filename
    1033080