Citas bibligráficas
Johnson, D., Fernandez, O. (2023). MR MIME: detección y reproducción de movimientos usando simuladores de brazos robóticos [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/672212
Johnson, D., Fernandez, O. MR MIME: detección y reproducción de movimientos usando simuladores de brazos robóticos [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/672212
@misc{renati/414231,
title = "MR MIME: detección y reproducción de movimientos usando simuladores de brazos robóticos",
author = "Fernandez Ramos, Oscar Enrique",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
The teaching of robot movements has always been considered a complex subject in which there is a lot of interest, since the slightest change in the robot programming can generate a high downtime that can last more than a month. In this work, we carried out a study of human movements to implement a new method of Robot Programming by Demonstration using neural networks. Current methods require specialists with high mathematical and logical knowledge to teach robot movements. Using a famous pose estimation algorithm called Open Pose and a 3D lifting method we obtain the estimated pose of the person arm in a simulated 3D space. Then, we use various classification tools to traduce the predicted pose into the robot. The results show that it is feasible to make robot programming more accessible using pose estimation.
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