An Improved Method of Redundant Robotic Control Using Neural Network

Authors

  • Uchegbu C.E   Department of Electrical and Electronic Engineering Abia state Polytechnic Aba, Nigeria
  • Ugwu O.C  Department of Electrical and Electrical Engineering Enugu State University of Science and Technology, Nigeria
  • Ekwuribe J. M  Department of Electrical and Electronic Engineering Abia state Polytechnic Aba, Nigeria

Keywords:

Animat and Robot, Multielectrode Array.

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.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-12-30

Issue

Volume 2, Issue 6, November-December-2016

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Uchegbu C.E , Ugwu O.C, Ekwuribe J. M, " An Improved Method of Redundant Robotic Control Using Neural Network, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 6, pp.221-224 , November-December-2016.