Servoing Mechanisms for Peg-In-Hole Assembly Operations

  • Josef Pauli
  • Arne Schmidt
  • Gerald Sommer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1998)


Image-based effector servoing is a process of perception-action cycles for handling a robot effector under continual visual feedback. Apart from the primary goal of manipulating objects we apply servoing mechanisms also for determining camera features, e.g. the optical axes of cameras, and for actively changing the view, e.g. for inspecting the object shape. A peg-in-hole application is treated by a 6-DOF manipulator and a stereo camera head. The two robot components are mounted on separate platforms and can be steered independently. In the first phase (inspection phase), the robot hand carries an object into the field of view of one camera, then approaches the object along the optical axis to the camera, rotates the object for reaching an optimal view, and finally inspects the object shape in detail. In the second phase (insertion phase), the system localizes a board containing holes of different shapes, determines the relevant hole based on the extracted object shape, then approaches the object, and finally inserts it into the hole. At present, the robot system has the competence to handle cylindrical and cuboid pegs. For treating more complicated objects the system must be extended with more sophisticated strategies for the inspection and/or insertion phase.


Robot System Stereo Image Assembly Operation Stereo Camera Robot Hand 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    S. Dubois, F. Glanz: An autoregressive model approach to two-dimensional shape classification. IEEE Trans. on Patt. Anal. and Mach. Intel. 8 (1986) 55–66. 162CrossRefGoogle Scholar
  2. 2.
    O. Faugeras: Three-Dimensional Computer Vision. The MIT Press (1993). 159Google Scholar
  3. 3.
    K. Hashimoto: Visual Servoing. World Scientific Publishing (1993). 157Google Scholar
  4. 4.
    R. Horaud, F. Chaumette (eds.): Internat. J. of Computer Vision, special issue on Image-based Robot Servoing 37 (2000). 157Google Scholar
  5. 5.
    S. Hutchinson, G. Hager, P. Corke: A tutorial on visual servo control. IEEE Trans. on Robotics and Automation 12 (1996) 651–670. 157CrossRefGoogle Scholar
  6. 6.
    M. Lanzetta, G. Dini: An integrated vision-force system for peg-in-hole assembly operations. Intel. Comp. in Manufact. Eng. (1998) 615–621. 158Google Scholar
  7. 7.
    J. Pauli: Development of camera-equipped robot systems. Christian-Albrechts-Universität zu Kiel, Institut für Informatik, Technical Report 9904 (2000). 161, 165Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Josef Pauli
    • 1
  • Arne Schmidt
    • 1
  • Gerald Sommer
    • 1
  1. 1.Christian-Albrechts-Universität zu Kiel Institut für Informatik und Praktische MathematikKielGermany

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