Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
versions View all 2 versions
addClaim

Sincronización posicional entre gemelo digital y entorno real mediante redes neuronales

Authors: Cebolla Verdugo, Francisco Javier;

Sincronización posicional entre gemelo digital y entorno real mediante redes neuronales

Abstract

En estos últimos años, ha habido un gran avance respecto al campo de la inteligencia artifical mediante el uso de redes neuronales artificiales, debido a la gran complejidad que pueden tomar y solucionar problemas que hasta ahora eran muy complejos, y a la creación de entornos virtuales para simular procesos complejos. El proyecto trata, mediante el uso de esta herramienta aplicada a visión, crear una red neuronal que pueda identificar la posición de una bandeja dentro de una célula de fabricación, y su dirección a través de los carriles que esta tiene, todo ello para transmitirlo a su gemelo digital en el mundo virtual.

In recent years, there has been significant progress in the field of artificial intelligence through the use of artificial neural networks, due to their ability to take on and solve problems that were previously very complex, and the creation of virtual environments to simulate intricate processes. The project aims, through the application of this tool to vision, to create a neural network capable of identifying the position of a tray within a manufacturing cell and its direction along the rails it follows, all in order to transmit this information to its digital twin in the virtual world.

Universidad de Sevilla. Doble Máster Universitario en Ingeniería Industrial e Ingeniería Electrónica, Robótica y Automática

Country
Spain
Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green