• DocumentCode
    3132759
  • Title

    An automatic golf head robotic welding system using 3D machine vision system

  • Author

    Tsai, Ming J. ; Ann, Nai-Jun

  • Author_Institution
    Metal Ind. R&D Center, Nat. Cheng-Kung Univ., Tainan
  • fYear
    2008
  • fDate
    23-25 Aug. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A robotic automatic welding system is constructed for welding golf heads. This system uses machine vision technique to recognize the weldseam and generated welding path for the robot. The location of the weldseam is discovered by applying a Sobel mask to the captured data. Laplace mask is also useful to filter out the noise points due to the scatter light refraction of tack-welding spots. The weldseam is then replenished and smoothed out by B-spline curve fitting. The task frame of the weldseam is computed by finding the tangent, normal, and bi-normal of the curve. The robotic welding path is obtained by further rotations and translation along the axes of the task frame according to the requirement of the welding attitude. The developed machine vision technique and the mathematic framework pertaining to the generation of welding task frame can readily be used for various three-dimensional welding.
  • Keywords
    Laplace equations; curve fitting; robot vision; robotic welding; splines (mathematics); 3D machine vision system; B-spline curve fitting; Laplace mask; Sobel mask; automatic golf head robotic welding system; light refraction scattering; three-dimensional welding; Curve fitting; Filters; Light scattering; Machine vision; Magnetic heads; Optical refraction; Robot vision systems; Robotics and automation; Spline; Welding; Machine vision; Robot; path planning; welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced robotics and Its Social Impacts, 2008. ARSO 2008. IEEE Workshop on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-2674-4
  • Electronic_ISBN
    978-1-4244-2675-1
  • Type

    conf

  • DOI
    10.1109/ARSO.2008.4653620
  • Filename
    4653620