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Aru, O. E.
Department of Computer Engineering, Michael Okpara University of Agriculture Umudike, P.M.B. 7267.Umuahia Abia State, Nigeria.
Adimora, K. C.
Department of Computer Engineering, Michael Okpara University of Agriculture Umudike, P.M.B. 7267.Umuahia Abia State, Nigeria.
ABSTRACT
From the researchers’ point of view, over 85 percent of persons that serve as nanny has either theft trait or contagious diseases that are transferrable to homes where they serve. As a result of this, parents spend months and sometimes years in searching for a trusted and healthy person to take care of their kids at home. Most times they will end up getting nobody. Therefore, in this study, we proposed a humanoid robot in lieu of a person nanny that will be purchased off the shelf. The system will also solve the problem of time lag often experienced by parents in searching for nanny person. The proposed humanoid robot was biologically inspired to mimic human beings through the use of artificial Neural Network, Machine Learning principle based on the Naïve Bayes Algorithm supported with the application of Markov Chain. The research result of this study revealed that the new system, understands and responds to human instructions fast, communicates seamlessly, and has the ability to reason and improve its skills on every task it performs. The instruction set of the microcontroller that serves as the robot brain was programmed in assembly language. The MATLAB comparative test analysis between human nanny and robots showed that the proposed humanoid robot is more efficient and reliable.
Keywords: Humanoid Robot, Neural Network, Machine Learning, Naïve Bayes Algorithm, Markov Chain, Microcontroller, Assembly Language
https://doi.org/10.33922/j.ujet_v6i2_11
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View: 117 | Download: 13
Published
Friday, January 22, 2021
Issue
Vol. 6 No. 2, December 2020
Article Section
GENERAL
The contents of the articles are the sole opinion of the author(s) and not of UJET.
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