• DocumentCode
    2745921
  • Title

    Vision Based Intelligent Control for Mobile Robot

  • Author

    Peng, Gang ; Huang, Xinhan ; Gao, Jian ; Wu, Yi

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    9124
  • Lastpage
    9128
  • Abstract
    According to environment information, navigation and motion control are key techniques in intelligent mobile robot system. Vision information is the most important way to perceive environment, the vision-based intelligent control techniques concerning on Pioneer II mobile robot system are presented. The object search, image segmentation based on HSV (hue-saturation-value) color mode, clustering algorithm and location based on CCD vision sensor are discussed in detail. Also, the software framework and functions of mobile robot control system based on vision are described, including server program structure and client procedure flow. The effective experimental results in which a mobile robot can autonomously convey object to target point based on CCD vision sensor are given
  • Keywords
    image segmentation; intelligent control; mobile robots; motion control; path planning; pattern clustering; position control; robot vision; CCD vision sensor; Pioneer II; clustering algorithm; hue-saturation-value color mode; image segmentation; intelligent mobile robot system; motion control; navigation control; object search; vision based intelligent control; Charge coupled devices; Image segmentation; Intelligent control; Intelligent robots; Intelligent sensors; Intelligent systems; Machine vision; Mobile robots; Motion control; Navigation; intelligent control; mobile robot; sensor; vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713765
  • Filename
    1713765