• DocumentCode
    2039981
  • Title

    Methods of Generating Robot Spraying Trajectory Based on Shoe Sole Information

  • Author

    Wu, Chuanyu ; Mao, Xiaojie ; Shi, Xiangjun ; Zhang, Lei

  • Author_Institution
    Coll. of Mech. Eng. & Autom., Zhejiang Sci-Tech Univ., Hangzhou
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Robots and automation technology has been increasingly used in the production of leather shoes. How to get the work trajectory is one of the key problems. Methods that can generate robot spraying trajectory by extracting shoe sole information were presented. The information including shoe sole surface and contour line could be obtained by off-line program with CAD technology and on-line program with scanning shoe lasted upper. In on-line program system, a method based on computer vision with structured light is described. After scanning, basic information rendered by three-dimensional point-cloud can be extracted. The 3D scan curves and closed contour line could be interpolated as B-spline curves. The spraying trajectory is an offset curve of contour line on shoe sole surface. To pick up robot working points, trajectory is discretized. Finally, robot working points are successfully applied in a shoe upper spraying robot. Thus, presented methods are validated effectively and feasibly.
  • Keywords
    computer vision; footwear industry; industrial robots; production engineering computing; splines (mathematics); spraying; 3D scan curves; B-spline curves; CAD technology; computer vision; leather shoe production; online program system; robot spraying trajectory; robot working points; shoe sole information; three-dimensional point-cloud; Computer vision; Data mining; Design automation; Educational institutions; Footwear; Mechanical engineering; Robotics and automation; Robots; Spline; Spraying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072953
  • Filename
    5072953