• DocumentCode
    2842783
  • Title

    An obstacle avoidance method for two wheeled mobile robot

  • Author

    Deng, Mingcong ; Inoue, Akira ; Shibata, Yoshiteru ; Sekiguchi, K. ; Ueki, Nobuyuki

  • Author_Institution
    Okayama Univ., Okayama
  • fYear
    2007
  • fDate
    15-17 April 2007
  • Firstpage
    689
  • Lastpage
    692
  • Abstract
    In this paper, we proposed an obstacle avoidance method of mobile robot by using lobula giant movement detector (LGMD) method. The LGMD is an identified neuron in the locust brain that responds most strongly to the image of an approaching object such as a predator. As an assistance to the avoidance method, we add a distance measurement algorithm to LGMD method. The measurement algorithm is based on information from camera to detect obstacles and calculate the route for two wheeled mobile robot. Simulation result confirmed the effectiveness of the proposed method.
  • Keywords
    collision avoidance; distance measurement; mobile robots; LGMD method; camera; distance measurement algorithm; lobula giant movement detector; locust brain; obstacle avoidance method; two wheeled mobile robot; Brain modeling; Cameras; Detectors; Distance measurement; Insects; Intelligent robots; Intelligent sensors; Mobile robots; Object detection; Robot vision systems; Mobile robot; distance measurement; lobula giant movement detector; obstacle avoidance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2007 IEEE International Conference on
  • Conference_Location
    London
  • Print_ISBN
    1-4244-1076-2
  • Electronic_ISBN
    1-4244-1076-2
  • Type

    conf

  • DOI
    10.1109/ICNSC.2007.372863
  • Filename
    4239076