• DocumentCode
    515078
  • Title

    A Novel Medium-Sized Complex Workpiece Scanning System

  • Author

    Liu Binchun ; Huang Jin ; Chen Yuqing

  • Author_Institution
    Aviation Theor. Dept., Air Force Aviation Univ., Jilin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    240
  • Lastpage
    243
  • Abstract
    An industry robot and external axle scanning system is designed for medium-sized complex workpiece measurement and reverse engineering. An industry robot, which carries a structured light vision sensor to sample data, serves as main data sampling actuator. A workpiece is fixed on an external axle, and any part of it can be scanned on rotated place. The spatial location relationships of the robot, the structured light vision sensor and the external axle must be calibrated before measuring. The real sampled data can be determined via coordinate transformations. The experimental results demonstrate that the system can scan most of parts of the workpiece in one scan so that data merge can be omitted. Compared with traditional scanning methods, the system is more flexible and efficient. Furthermore, the system is more suitable for the manufacturing site.
  • Keywords
    axles; image sensors; industrial robots; reverse engineering; size measurement; coordinate transformations; data sampling actuator; external axle; industry robot; medium-sized complex workpiece meausrement; reverse engineering; scanning system; structured light vision sensor; Actuators; Axles; Industrial relations; Manufacturing; Reverse engineering; Robot kinematics; Robot sensing systems; Robot vision systems; Sampling methods; Service robots; external axle; industry robot; scanning system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.213
  • Filename
    5460285