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Algoritmos para el procesamiento de imágenes implementados en el Robot Humanoide InMoov.

Authors :
VALERO CARVAJAL, DIEGO ALEJANDRO
OROZCO ISAZA, JUAN ESTEBAN
CÓRDOBA PUERTO, JAZMÍN NATALIA
NOREÑA HEMELBERG, OSCAR SANTIAGO
GÓMEZ ALARCÓN, MIGUEL ALEJANDRO
JINETE GÓMEZ, MARCO ANTONIO
GUTIÉRREZ ALFONSO, JHONATAN ALEJANDRO
Source :
Revista EIA. jun2021, Vol. 18 Issue 36, p1-16. 16p.
Publication Year :
2021

Abstract

The world of robotics seemed to be a science fiction world until a few decades ago, however, in recent years the development of new technologies in robots has been growing exponentially, to the point where they have been incorporated into our lives, provided support in areas as diverse as: education, medicine, transportation and recreation, among many other scenarios, where the main objective is to develop useful and safe robots that seek to improve the quality and productivity of some activities. This article presents the development and implementation of digital image processing and machine learning algorithms, implemented in the humanoid robot InMoov, the first open source robot manufactured from 3D printing in the world, developed by the French sculptor Gaël Langevin In September 2011, these algorithms have functionalities for the detection and tracking of human movement, facial recognition, control of the humanoid's robotic hand by tracking the movement of the human hand, and a system was implemented in the robot embedded speech synthesizer, so that it is able to ask and answer some previously defined questions. The elaborated algorithms are implemented in the first Inmoov humanoid robot assembled in Colombia, with these it is sought that the robot strengthens the human-robot interaction (HRI) and autonomy in its movements, the developed image processing algorithms have an average efficiency 90% effectiveness or success in environments with controlled lighting. [ABSTRACT FROM AUTHOR]

Details

Language :
Spanish
ISSN :
17941237
Volume :
18
Issue :
36
Database :
Academic Search Index
Journal :
Revista EIA
Publication Type :
Academic Journal
Accession number :
152521886
Full Text :
https://doi.org/10.24050/reia.v18i36.1495