Parameter Identification of a Robot Arm Manipulator Based on a Convolutional Neural Network

Parameter Identification of a Robot Arm Manipulator Based on a Convolutional Neural Network

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 robot. This article shows the identification of a...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
CNN
dynamic parameters
parameter identification
robotics
signals
Online Access:https://ieeexplore.ieee.org/document/9780143/

Internet

https://ieeexplore.ieee.org/document/9780143/

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