• DocumentCode
    2009420
  • Title

    Arc-Light Based Real-Time Seam Tracking System in Welding Robot

  • Author

    Liu, Xiaogang ; Xie, Cunxi

  • Author_Institution
    South China Univ. of Technol., Guangzhou
  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    2462
  • Lastpage
    2467
  • Abstract
    Vision-based seam tracking without auxiliary light is a popular topic concerning the intelligent welding robot. The Gordian Knot of the issue is image processing with much time spending in the welding course. Firstly, according to the principle of paraboloid of revolution reflecting, this paper puts forward a structure that can see long visual seam through the reflected light shines on the area where the CCD camera can see. Secondly, that the theory of robot difference-move was applied to delete the image noise since the velocity of a splash in melted bath is very fast. An algorithm used to erase the noise was put forward. Then a means was discussed to obtain the centerline of the seam. It can get hold of the perfect precision to apply the mathematical statistics and curve characteristic. A welding robot system with single camera fixed on the weld torch end-effector has been established for the robot to identify the welded seam by the reflected light. The simulation and real application results have proved the validity of the above-mentioned method.
  • Keywords
    CCD image sensors; image denoising; real-time systems; robot vision; robotic welding; statistical analysis; tracking; CCD camera; arc-light based real-time seam tracking system; curve characteristic; image denoising; image processing; intelligent welding robot; mathematical statistics; Cameras; Charge coupled devices; Charge-coupled image sensors; Image processing; Intelligent robots; Real time systems; Robot kinematics; Robot vision systems; Robotics and automation; Welding; image processing; seam tracking; vision; welding robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0817-7
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376805
  • Filename
    4376805