Humanoid Head MIKE

The humanoid robot MIKE is a PhD project developed in the Graduate Studies Section of the School of Mechanical and Electrical Engineering, Zacatenco campus of the National Polytechnic Institute (Instituto Politécnico Nacional). In this article, the head of the humanoid robot called MIKE is presented, which consists of the design of a 3D printed prototype, has 2 degrees of freedom for the movement of rotation and tilt of the head through 2 servomotors respectively, has incorporated a dual stereo camera IMX219-83 that gives it artificial vision, all this is controlled by Artificial Intelligence (AI) algorithms by means of a Raspberry Pi 5 minicomputer. To identify and classify objects, people and scenarios, programs developed in Python 3.11 were created and Open CV and RPiCam algorithms were also used. Section II presents the prototype design, head components, control system design, algorithm development and final assembly. Section III presents the tests with different scenarios and the results obtained. Section IV gives the conclusions obtained from the development of this work

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Publication Details

Journal
IOSR Journal of Computer Engineering
Published
2024-12-01
DOI
https://doi.org/10.9790/0661-2606016066
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
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article

Humanoid Head MIKE

A. Samuel, Gonzalez Sánchez América María
IOSR Journal of Computer Engineering
Wireless Body Area Networks
article

Humanoid Head MIKE

A. Samuel, Gonzalez Sánchez América María
article en

Abstract

The humanoid robot MIKE is a PhD project developed in the Graduate Studies Section of the School of Mechanical and Electrical Engineering, Zacatenco campus of the National Polytechnic Institute (Instituto Politécnico Nacional). In this article, the head of the humanoid robot called MIKE is presented, which consists of the design of a 3D printed prototype, has 2 degrees of freedom for the movement of rotation and tilt of the head through 2 servomotors respectively, has incorporated a dual stereo camera IMX219-83 that gives it artificial vision, all this is controlled by Artificial Intelligence (AI) algorithms by means of a Raspberry Pi 5 minicomputer. To identify and classify objects, people and scenarios, programs developed in Python 3.11 were created and Open CV and RPiCam algorithms were also used. Section II presents the prototype design, head components, control system design, algorithm development and final assembly. Section III presents the tests with different scenarios and the results obtained. Section IV gives the conclusions obtained from the development of this work

IOSR Journal of Computer EngineeringVol. 26(6)
Peace, Justice and strong institutions
Openalex Percentile: Top 80%
Wireless Body Area Networks
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