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An Ultrasonic Robot Eye Using Neural Networks

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Book cover Acoustical Imaging

Part of the book series: Acoustical Imaging ((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.

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References

  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).

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  2. M. Yoneyama, S. Watanabe, “The Ultrasonic Robot Eye System Using Neural Network”, 13th International Congress on Acoustics, (1989).

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  3. A. Ishimaru, “Wave Propagation and Scattering in Random Media Vol.2”, Academic Press (1978).

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  4. D.E. Rumelhart, J.L. McCleland, and The PDP Research Group, “Parallel Distributed Processing Vol.1”, The MIT Press (1986).

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© 1991 Springer Science+Business Media New York

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Watanabe, S., Yoneyama, M. (1991). An Ultrasonic Robot Eye Using Neural Networks. In: Lee, H., Wade, G. (eds) Acoustical Imaging. Acoustical Imaging, vol 18. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3692-5_10

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  • DOI: https://doi.org/10.1007/978-1-4615-3692-5_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6641-6

  • Online ISBN: 978-1-4615-3692-5

  • eBook Packages: Springer Book Archive

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