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Ultrasonic robot eyes using neural networks.

S Watanabe1, M Yoneyama

  • 1RICOH Res. and Dev. Center, Yokohama.

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|January 1, 1990
PubMed
Summary

This study introduces a novel robot eye system using acoustical holography and neural networks for clearer ultrasonic imaging. The system successfully identifies and reconstructs acoustic images with fewer sensors.

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Area of Science:

  • Robotics
  • Acoustics
  • Artificial Intelligence

Background:

  • Acoustical holography enables ultrasonic imaging but suffers from reconstruction vagueness.
  • Developing robot vision systems with limited sensors presents a significant challenge.

Purpose of the Study:

  • To devise an integrated system combining acoustical holography with neural networks for improved robot eye construction.
  • To enhance the object identification and acoustic image reconstruction capabilities of acoustical holography.

Main Methods:

  • A novel system integrating acoustical holography with neural networks was developed.
  • Neural networks were employed to mitigate the inherent vagueness in acoustical holography reconstructions.
  • The system utilized a minimal array of receivers for data acquisition.

Main Results:

  • The system demonstrated the ability to identify various objects.
  • Acoustic images of objects were successfully reconstructed with reduced vagueness.
  • Experimental validation was performed using metal plate objects.

Conclusions:

  • The combined acoustical holography and neural network system offers a promising approach for robot eye development.
  • The system shows potential for effective object identification and acoustic image reconstruction with reduced sensor arrays.

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