• DocumentCode
    383210
  • Title

    Experimental evaluation of a vision-based measuring device for parallel machine-tool calibration

  • Author

    Renaud, Pierre ; Andreff, Nicolas ; Dhome, Michel ; Martinet, Philippe

  • Author_Institution
    LaRAMA, Univ. Blaise Pascal, Clermont-Ferrand, France
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1868
  • Abstract
    In this article, an evaluation of a vision-based measuring system for parallel machine-tool calibration is performed. Simultaneous measurement of the 6 pose components enables one to perform calibration using the efficient inverse kinematic method. The system is composed of a single camera and a calibration board generated on a LCD monitor. Calibration board size can be adapted to the camera field of view, and specific points of interest can be generated, in order to improve pose measurement. Based on a single industrial camera, the measuring system is low-cost and easy-to-use. An experimental evaluation of the system is performed on a machine-tool axis. Measurement bias and precision are estimated by comparison with laser interferometry, and the influence of focal length and sensor resolution is examined.
  • Keywords
    CCD image sensors; calibration; industrial robots; machine tools; robot kinematics; robot vision; CCD camera; LCD monitor; calibration board; camera field of view; focal length; inverse kinematic method; laser interferometry; machine-tool axis; measurement bias; measurement precision; parallel machine-tool calibration; pose components; pose measurement; sensor resolution; single camera; vision-based measuring system; Calibration; Cameras; Interferometry; Kinematics; Machining; Monitoring; Performance evaluation; Position measurement; Theodolites; Volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-7398-7
  • Type

    conf

  • DOI
    10.1109/IRDS.2002.1044028
  • Filename
    1044028