• DocumentCode
    497400
  • Title

    Surface Matching Method for the Armed Inspection Robots

  • Author

    Chen, Yuqing ; Hu, Ying ; Ma, Zi

  • Author_Institution
    Autom. Res. Center, Dalian Maritime Univ., Dalian, China
  • Volume
    2
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    144
  • Lastpage
    147
  • Abstract
    This paper presents an efficient method for rigid registration of 3-D point sets, which intends to match the feature points inspected by armed inspection robots with the points on designed CAD surface. The alignment error is defined as the least square problem, and the sphere radius of the inspection probe is considered. In this framework, the matching problem is converted into acquiring six Euler variables problem by solving nonlinear equations. Thus a matrix transformation of parameter separation is presented to get the approximate resolution. The validity and effectiveness is tested via real surface matching experiment.
  • Keywords
    CAD; industrial robots; inspection; least squares approximations; nonlinear equations; production engineering computing; 3D point sets; CAD surface; Euler variables problem; armed inspection robots; least square problem; nonlinear equations; parameter separation; sphere radius; surface matching method; Design automation; Inspection; Least squares approximation; Least squares methods; Manufacturing industries; Nonlinear equations; Probes; Robotics and automation; Robots; Surface treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.17
  • Filename
    5203397