• DocumentCode
    1861250
  • Title

    Visual servoing set free from image processing

  • Author

    Collewet, Christophe ; Marchand, Eric ; Chaumette, Francois

  • Author_Institution
    INRIA Rennes Bretagne Atlantique, IRISA, Rennes
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    81
  • Lastpage
    86
  • Abstract
    This paper proposes a new way to achieve robotic tasks by visual servoing. Instead of using geometric features (points, straight lines, pose, homography, etc.) as it is usually done, we use directly the luminance of all pixels in the image. Since most of the classical control laws fail in this case, we turn the visual servoing problem into an optimization problem leading to a new control law. Experimental results validate the proposed approach and show its robustness regarding to approximated depths, non Lambertian objects and partial occlusions.
  • Keywords
    robot vision; robust control; visual servoing; image pixel luminance; image processing; non Lambertian object; optimization problem; partial occlusion; robotic task; robustness; visual servoing; Cameras; Data mining; Error correction; Image processing; Motion control; Pixel; Robot control; Robotics and automation; Robustness; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543190
  • Filename
    4543190