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The Coupling of a workpiece Recognition System with an Industrial Robot

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Robot Vision

Part of the book series: International Trends in Manufacturing Technology ((MANUTECH))

Abstract

When manufacturing medium and small lot sizes, workpieces can automatically be produced by CNC machine tools. However, the problem of automatic conveying of workpieces to and from the machine tools has not been solved to date. This task can only be achieved by the application of flexible, computer controlled material handling systems, which are easily adaptable to different workpieces.

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References

  1. K. Armbruster, P. Martini, G. Nehr, U. Rembold and W. Olzmann, ‘A very fast vision system for recognising ports and their locations and orientation’, Proc. 9th Int. Symp. Industrial Robots, pp. 265–280, Washington, DC, USA, SME, March 1979.

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  2. G. Nehr and P. Martini, ‘Recognition of angular orientation of objects with the help of optical sensors’, The Industrial Robot, Vol. 6, No. 2, pp. 62–69 (June 1979).

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  3. K. Feldman, et. al. ‘Einsatz des Siemens-Industrieroboters zur Maschinenbeschickung’, Proc. 8th Int. Symp. Industrial Robots, pp. 841–849, Stuttgart, Germany, IFS (Publications ) (May 1978).

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  4. H. Becker and G. Leusch, ‘Freiprogrammierbare Steuerung für Industrieroboter’, Siemens-Zeitschrift Vol. 51 No. 6, pp. 463 (1977).

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Author information

Authors and Affiliations

  1. Institut für Informatik, University of Karlsruhe, Germany

    G. Nehr & P. Martini

Authors
  1. G. Nehr
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  2. P. Martini
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Editor information

Editors and Affiliations

  1. University of Hull, Hull, UK

    Alan Pugh

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© 1983 Springer-Verlag Berlin Heidelberg

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Nehr, G., Martini, P. (1983). The Coupling of a workpiece Recognition System with an Industrial Robot. In: Pugh, A. (eds) Robot Vision. International Trends in Manufacturing Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-09771-7_5

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  • DOI: https://doi.org/10.1007/978-3-662-09771-7_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-09773-1

  • Online ISBN: 978-3-662-09771-7

  • eBook Packages: Springer Book Archive

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