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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2000: Intelligent Problem Solving. Methodologies and Approaches pp 109–117Cite as

Vision Guided Bin Picking and Mounting in a Flexible Assembly Cell

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1821))

Abstract

In this contribution a vision system for the flexible assembling of industrial parts is presented. A new three step approach is described. It consists of three independent vision guided modules. The picking module allows to pick objects from an unorganized heap or out of a bin, the pose determination module delivers the exact position of the isolated object and the surveillance module allows to verify the success of mounting the parts. This allows all the system stages to consist of standard components, while ensuring a high degree of flexibility, adaptability and robustness. Successfull results achieved with a prototype system implemented at our industrial cooperating partner are presented.

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Author information

Authors and Affiliations

  1. Computer Graphics and Vision, Graz University of Technology, Graz

    Martin Berger, Gernot Bachler & Stefan Scherer

Authors
  1. Martin Berger
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  2. Gernot Bachler
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  3. Stefan Scherer
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Editor information

Editors and Affiliations

  1. The Center for Advanced Computer Studies, University of Lousiana, 2 Rex Street, Lafayette, LA, 70504-4330, USA

    Rasiah Logananthara

  2. Department of Neural Information Processing, University of Ulm, Oberer Eselsberg, 89069, Ulm, Germany

    Günther Palm

  3. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2000 Springer-Verlag Berlin Heidelberg

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Berger, M., Bachler, G., Scherer, S. (2000). Vision Guided Bin Picking and Mounting in a Flexible Assembly Cell. In: Logananthara, R., Palm, G., Ali, M. (eds) Intelligent Problem Solving. Methodologies and Approaches. IEA/AIE 2000. Lecture Notes in Computer Science(), vol 1821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45049-1_14

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  • DOI: https://doi.org/10.1007/3-540-45049-1_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67689-8

  • Online ISBN: 978-3-540-45049-8

  • eBook Packages: Springer Book Archive

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