• DocumentCode
    3328704
  • Title

    Equiangular navigation guidance of a wheeled mobile robot with local obstacle avoidance

  • Author

    Teimoori, Hamid ; Savkin, Andrey V.

  • Author_Institution
    Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW
  • fYear
    2009
  • fDate
    22-25 Feb. 2009
  • Firstpage
    1962
  • Lastpage
    1967
  • Abstract
    We consider the problem of navigation of wheeled mobile robot (WMR) towards an unknown target in a cluttered environment. The biologically inspired navigation algorithm is the equiangular navigation guidance (ENG) combined with a local obstacle avoidance technique. The collision avoidance technique uses a system of active sensors which provides the necessary information about the obstacles in the vicinity of the robot. In order for the robot to avoid collision and bypass the enroute obstacles, the angle between the instantaneous moving direction of the robot and a reference point on the surface of the obstacle is kept constant. The performance of the navigation strategy is confirmed with computer simulations and experiments with Active Media Pioneer 3-DX wheeled robot.
  • Keywords
    collision avoidance; mobile robots; navigation; sensors; wheels; active sensors; biologically inspired navigation algorithm; collision avoidance; equiangular navigation guidance; local obstacle avoidance technique; wheeled mobile robot; Collision avoidance; Fuzzy control; Linear feedback control systems; Mobile robots; Navigation; Robot sensing systems; Robotics and automation; Sliding mode control; Target tracking; Vehicle dynamics; Biologically Inspired Navigation; Obstacle Avoidance; Wheeled Mobile Robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-2678-2
  • Electronic_ISBN
    978-1-4244-2679-9
  • Type

    conf

  • DOI
    10.1109/ROBIO.2009.4913301
  • Filename
    4913301