Design of a Software Platform to Generate Convolutional Neural Networks for the Parametric Identification of a Cartesian Robot-Reference-Cited by-同舟云学术

Design of a Software Platform to Generate Convolutional Neural Networks for the Parametric Identification of a Cartesian Robot

Published:2023 Issue: Volume:11 Page:63371-63387
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

González-Arriaga Daniel Marcelo¹^ORCID,Vargas-Treviño María Aurora D.²^ORCID,Vergara-Limon Sergio²,De León Carlos Leopoldo Carreón-Díaz¹^ORCID,López-Gómez Jesús³^ORCID,Vargas-Treviño Marciano⁴^ORCID,Guerrero-García Josefina¹

Affiliation:

1. Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla (FCC-BUAP), Puebla, Mexico

2. Facultad de Ciencias de la Electrónica, Benemérita Universidad Autónoma de Puebla (FCE-BUAP), Puebla, Mexico

3. División Académica de Ingeniería y Arquitectura, Universidad Juárez Autónoma de Tabasco (DAIA-UJAT), Tabasco, Mexico

4. Escuela de Sistemas Biológicos e Innovación Tecnológica, Universidad Autónoma Benito Juárez de Oaxaca (ESBIT-UABJO), Oaxaca de Juárez, Mexico

Funder

Consejo Nacional de Ciencia y Tecnología (CONACyT) under the postgraduate scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10160028.pdf?arnumber=10160028

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5. Identification Of Load Dynamics Parameters Of Industrial Robots Based On Artificial Neural Network