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An Ultrasonic Robot Eye Using Neural Networks

  • Sumio Watanabe
  • Masahide Yoneyama
Part of the Acoustical Imaging book series (ACIM, volume 18)

Abstract

Object recognition is an important aspect in the development of a robot eye system. The use of television cameras has been investigated, however no particularly effective method has been developed. We are developing a new method based on ultrasonic recognition and report some recent experimental results.

Keywords

Neural Network Reflection Coefficient Inverse Fourier Transform Learning Cycle Phase Term 
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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References

  1. 1.
    M. Yoneyama, S. Watanabe, H. Kitagawa, T. Okamoto, T. Morita, “Neural Network Recognizing 3-Dimensional Object through Ultrasonic Scattering Waves”, IEEE Ultrasonics Symposium, (1988).Google Scholar
  2. 2.
    M. Yoneyama, S. Watanabe, “The Ultrasonic Robot Eye System Using Neural Network”, 13th International Congress on Acoustics, (1989).Google Scholar
  3. 3.
    A. Ishimaru, “Wave Propagation and Scattering in Random Media Vol.2”, Academic Press (1978).Google Scholar
  4. 4.
    D.E. Rumelhart, J.L. McCleland, and The PDP Research Group, “Parallel Distributed Processing Vol.1”, The MIT Press (1986).Google Scholar

Copyright information

© Springer Science+Business Media New York 1991

Authors and Affiliations

  • Sumio Watanabe
    • 1
  • Masahide Yoneyama
    • 1
  1. 1.Ricoh Research and Development CenterYokohama 223Japan

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