• DocumentCode
    354252
  • Title

    Research on obstacle avoidance method for evolutionary robot based on artificial neural network

  • Author

    Hongyan, Wang ; Jing-an, Yang ; Pei, Jiang

  • Author_Institution
    Hefei Univ. of Technol., China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1252
  • Abstract
    Obstacle avoidance behavior learning of evolutionary robot is realized by the use of artificial neural network in this paper. First, a robot learning environment and a robot model are presented and the implementation of evolutionary learning system is discussed. Then, the simulation experiments are carried out for obstacle avoidance learning system of intelligent robot that adopted evolutionary learning mechanism. Finally, the simulation results are analyzed and the further research direction is given
  • Keywords
    collision avoidance; evolutionary computation; learning (artificial intelligence); mobile robots; neurocontrollers; artificial neural network; evolutionary learning system; evolutionary robot; obstacle avoidance learning system; Analytical models; Artificial neural networks; Intelligent robots; Learning systems; Robot sensing systems; Tactile sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.863444
  • Filename
    863444