Memorias de investigación
Artículos en revistas:
A training system for Industry 4.0 operators in complex assemblies based on virtual reality and process mining
Año:2019

Áreas de investigación
  • Ingenierías

Datos
Descripción
Industry 4.0 aims at integrating machines and operators through network connections and information management. It proposes the use of a set of technologies in industry, such as data analysis, Internet of Things, cloud computing, cooperative robots, and immersive technologies. This paper presents a training system for industrial operators in assembly tasks, which takes advantage of tools such as virtual reality and process mining. First, expert workers use an immersive interface to perform assemblies according to their experience. Then, process mining algorithms are applied to obtain assembly models from event logs. Finally, trainee workers use an improved immersive interface with hints to learn the assemblies that the expert workers introduced in the system. A toy example has been developed with building blocks and tests have been performed with a set of volunteers. The results show that the proposed training system, based on process mining and virtual reality, is competitive against conventional alternatives. Furthermore, user evaluations are better in terms of mental demand, perception, learning, results, and performance.
Internacional
No
JCR del ISI
No
Título de la revista
Robotics And Computer-Integrated Manufacturing
ISSN
0736-5845
Factor de impacto JCR
Información de impacto
Volumen
59
DOI
10.1016/j.rcim.2019.05.004
Número de revista
Desde la página
305
Hasta la página
316
Mes
MAYO
Ranking

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Juan Jesús Roldán
  • Autor: Elena Crespo
  • Autor: Andrés Martín-Barrio
  • Autor: Elena Peña-Tapia
  • Autor: Antonio Barrientos Cruz UPM

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de Automática y Robótica (CAR). Centro Mixto UPM-CSIC
  • Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial