Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Daniel Marcelo Gonzalez-Arriaga"'
Autor:
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
Publikováno v:
IEEE Access, Vol 11, Pp 63371-63387 (2023)
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 trai
Externí odkaz:
https://doaj.org/article/51182a59110b4c92b3b2f65d6919199c
Autor:
Carlos Leopoldo Carreon-Diaz De Leon, Sergio Vergara-Limon, Maria Aurora D. Vargas-Trevino, Jesus Lopez-Gomez, Juan Manuel Gonzalez-Calleros, Daniel Marcelo Gonzalez-Arriaga, Marciano Vargas-Trevino
Publikováno v:
IEEE Access, Vol 10, Pp 55002-55019 (2022)
Dynamic parameters are crucial in designing robotics systems because they reflect an actual robot. Conventional identification methods require that the robot execute the optimal motion; however, they spend time trying all possible trajectories in the
Externí odkaz:
https://doaj.org/article/f8e763c6eb8a4cebb712380cd3717442