Automatic Learning Improves Human-Robot Interaction in Productive Environments: A Review
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Título: | Automatic Learning Improves Human-Robot Interaction in Productive Environments: A Review |
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Autor/es: | Zamora Hernández, Mauricio Andrés | Caldwell Marín, Eldon Glen | Garcia-Rodriguez, Jose | Azorin-Lopez, Jorge | Cazorla, Miguel |
Grupo/s de investigación o GITE: | Informática Industrial y Redes de Computadores | Robótica y Visión Tridimensional (RoViT) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
Palabras clave: | Augmented Reality | Computer Vision | Machine Learning | Manufacturing | Robotics |
Área/s de conocimiento: | Arquitectura y Tecnología de Computadores | Ciencia de la Computación e Inteligencia Artificial |
Fecha de publicación: | 2017 |
Editor: | IGI Global |
Cita bibliográfica: | International Journal of Computer Vision and Image Processing. 2017, 7(3): 65-75. doi:10.4018/IJCVIP.2017070106 |
Resumen: | In the creation of new industries, products and services -- all of which are advances of the Fourth Industrial Revolution -- the human-robot interaction that includes automatic learning and computer vision are elements to consider since they promote collaborative environments between people and robots. The use of machine learning and computer vision provides the tools needed to increase productivity and minimizes delivery reaction times by assisting in the optimization of complex production planning processes. This review of the state of the art presents the main trends that seek to improve human-robot interaction in productive environments, and identifies challenges in research as well as in industrial - technological development in this topic. In addition, this review offers a proposal on the needs of use of artificial intelligence in all processes of industry 4.0 as a crucial linking element among humans, robots, intelligent and traditional machines; as well as a mechanism for quality control and occupational safety. |
Patrocinador/es: | This work has been funded by the Spanish Government [TIN2016-76515-R] grant for the COMBAHO project, supported with Feder funds. |
URI: | http://hdl.handle.net/10045/75577 |
ISSN: | 2155-6997 (Print) | 2155-6989 (Online) |
DOI: | 10.4018/IJCVIP.2017070106 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2017, IGI Global |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.4018/IJCVIP.2017070106 |
Aparece en las colecciones: | INV - I2RC - Artículos de Revistas INV - RoViT - Artículos de Revistas INV - AIA - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2017_Zamora-Hernandez_etal_IJCVIP.pdf | 2,9 MB | Adobe PDF | Abrir Vista previa | |
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