• DocumentCode
    2279490
  • Title

    Aligning micro-gripper to ring object in high precision with microscope vision

  • Author

    Zhang, Juan ; Zhang, Zhengtao ; De Xu ; Zhang, Wensheng

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., Beijing, China
  • Volume
    3
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    123
  • Lastpage
    127
  • Abstract
    In this paper, a platform based on microscope vision is established to align and grip a ring object. An effective alignment algorithm is proposed based on a microscope vision system in order to realize the gripping in high precision. The multiple features of the micro-gripper in the image such as the edge length and the circle center are detected to regulate the microscope vision system. The desired position and orientation of the ring object is determined according to the features of the micro-gripper in the image captured by the horizontal camera. The ring object´s pose is adjusted to the desired pose above. Once the ring object´s pose coincides with the micro-gripper´s pose, the micro-gripper is moved to the ring object under the visual guidance of the vertical camera and grips it. Experimental results demonstrate the effectiveness of the alignment algorithm.
  • Keywords
    cameras; grippers; micromanipulators; robot vision; camera; microgripper; microscope vision system; ring object; visual guidance; Cameras; Feature extraction; Fitting; Grippers; Image edge detection; Microscopy; Noise; alignment; camera regulation; ellipse fitting; gripping; line fitting; microscope vision; visual control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952648
  • Filename
    5952648