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An Improved Method of Redundant Robotic Control Using Neural Network

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  • Uchegbu C.E
  • Ugwu O.C
  • Ekwuribe J. M

Abstract

The goal for this paper is to construct a simulated robot to explore data encoding and processing in living neuronal network. Information was encoded by varying timings between neuronal input simulations. This response if interpreted as a computation can be used to emulate any logic gate and even a universal turning machine. This neural response was used to control a simulated robot in real time to approach an object if it was too far away or to avoid an object it was too close. Sometimes, Robot can hardly be controlled as a result of the distance not easily identified unlike redundant robot control using neural network where interpreted prove interval IPI are trained to calculate the distance at a glance through two different delay channels.

Suggested Citation

  • Uchegbu C.E & Ugwu O.C & Ekwuribe J. M, 2016. "An Improved Method of Redundant Robotic Control Using Neural Network," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(6), pages 221-224, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i6:id:hijsrset162653
    Note: Article URL: https://ijsrset.com/IJSRSET162653
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