• DocumentCode
    3494493
  • Title

    Research on the Method of Intelligent Robot Visual Recognition and Positioning

  • Author

    Wang, Yinghai ; Jiang, Xinghong ; Li, Zhengming

  • Author_Institution
    Suzhou Ind. Park Inst. of Vocational Technol., Suzhou
  • fYear
    2008
  • fDate
    6-8 April 2008
  • Firstpage
    916
  • Lastpage
    919
  • Abstract
    In the paper, a method of intelligent robot visual recognition and positioning are investigated in detail. Based on the parallel institutions robot vision system experimental platform, the effective target recognition and positioning program is proposed and the image processing technology is presented in details. The method of 2D Otsu segmentation based on adaptive genetic algorithm is used in image segmentation. The experiment results have validated the effectiveness of the proposed method.
  • Keywords
    genetic algorithms; image recognition; image segmentation; intelligent robots; position control; robot vision; target tracking; 2D Otsu image segmentation; adaptive genetic algorithm; image processing technology; intelligent robot visual positioning; intelligent robot visual recognition; parallel institution robot vision system experimental platform; target recognition; Charge coupled devices; Hardware; Image processing; Image segmentation; Intelligent robots; Parallel robots; Robot sensing systems; Robot vision systems; Robotics and automation; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-1685-1
  • Electronic_ISBN
    978-1-4244-1686-8
  • Type

    conf

  • DOI
    10.1109/ICNSC.2008.4525347
  • Filename
    4525347