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

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

This article presents a software platform (SP) that helps generate convolutional and feed-forward neural networks and a parametric identification algorithm is proposed for a Cartesian robot using convolutional neural networks (CNN) generated and trained with the proposed SP. The user interface is fr...

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Bibliographic Details
Main Authors: Daniel Marcelo Gonzalez-Arriaga, Maria Aurora D. Vargas-Trevino, Sergio Vergara-Limon, Carlos Leopoldo Carreon-Diaz De Leon, Jesus Lopez-Gomez, Marciano Vargas-Trevino, Josefina Guerrero-Garcia
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
Matlab
parameter estimation
robot control
software design
Online Access:https://ieeexplore.ieee.org/document/10160028/

Internet

https://ieeexplore.ieee.org/document/10160028/

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