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A Transputer based visually guided robot system using neuro-control

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Book cover High-Performance Computing and Networking (HPCN-Europe 1994)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 796))

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Abstract

This paper presents an entirely Transputer based system conceived to investigate the performance of different types of neural networks applied to robot-control. A robot of 5 degrees of freedom is to be controlled by an unsupervised associative neural network relying on visual feedback. The modular concept of the system allows to easily upgrade processing power and to add optional extensions. Training and performance testing are supported by a Silicon Graphics Workstation.

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Bibliography

  1. J.M Auger, Parallel Implementation on Transputers of Kohonen's Algorithms, Euro Courses in Computing with Parallel Architectures, September 10–14, 1990.

    Google Scholar 

  2. T. Kohonen, Self-Organization and associative Memory, Springer-Verlag 1984.

    Google Scholar 

  3. M. Kuperstein, Infant Neural Controller for Adaptive Sensory-Motor Coordination, Neural Networks, Vol 4, pp 131–145, 1991.

    Google Scholar 

  4. H.J. Ritter, T.M. Martinetz, K.J. Schulten, Three-dimensional Neural Net for Learning Visuomotor Coordination of a robot arm, IEEE Transactions on Neural Networks, Vol 1, pp 131–136, 1990.

    Google Scholar 

  5. J.A. Walter, K.J. Schulten, Implementation of Self-Organizing Neural Networks for Visuo-Motor Control of an Industrial Robot, IEEE Transactions on Neural Networks, Vol 4, pp 86–95, 1993.

    Google Scholar 

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Authors and Affiliations

  1. Laboratoire TROP, Faculté des Sciences et Techniques, Université de Haute Alsace, F-68093, Mulhouse, France

    S. Hagmann, H. Kihl, D. Kuhn & J. -P. Urban

Authors
  1. S. Hagmann
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  2. H. Kihl
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  3. D. Kuhn
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  4. J. -P. Urban
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Editor information

Wolfgang Gentzsch Uwe Harms

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© 1994 Springer-Verlag Berlin Heidelberg

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Hagmann, S., Kihl, H., Kuhn, D., Urban, J.P. (1994). A Transputer based visually guided robot system using neuro-control. In: Gentzsch, W., Harms, U. (eds) High-Performance Computing and Networking. HPCN-Europe 1994. Lecture Notes in Computer Science, vol 796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020404

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  • DOI: https://doi.org/10.1007/BFb0020404

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57980-9

  • Online ISBN: 978-3-540-48406-6

  • eBook Packages: Springer Book Archive

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