A training system for Industry 4.0 operators in complex assemblies based on virtual reality and process mining

Roldán Gómez, Juan Jesús and Crespo, Elena and Martín Barrio, Andrés and Peña Tapia, Elena and Barrientos Cruz, Antonio (2019). A training system for Industry 4.0 operators in complex assemblies based on virtual reality and process mining. "Robotics and Computer-Integrated Manufacturing", v. 59 ; pp. 305-316. ISSN 0736-5845. https://doi.org/10.1016/j.rcim.2019.05.004.

Description

Title: A training system for Industry 4.0 operators in complex assemblies based on virtual reality and process mining
Author/s:
  • Roldán Gómez, Juan Jesús
  • Crespo, Elena
  • Martín Barrio, Andrés
  • Peña Tapia, Elena
  • Barrientos Cruz, Antonio
Item Type: Article
Journal/Publication Title: Robotics and Computer-Integrated Manufacturing
Date: October 2019
ISSN: 0736-5845
Volume: 59
Subjects:
Freetext Keywords: Industry 4.0; Training system; Assemblies; Virtual reality; Process mining
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainDPI2014-56985-RUnspecifiedUnspecifiedProtección robotizada de infraestructuras críticas
Madrid Regional GovernmentS2013/MIT-2748RoboCity2030-III-CMUnspecifiedRobótica aplicada a la mejora de la ca-lidad de vida de los ciudadanos. Fase III

More information

Item ID: 67144
DC Identifier: http://oa.upm.es/67144/
OAI Identifier: oai:oa.upm.es:67144
DOI: 10.1016/j.rcim.2019.05.004
Official URL: https://www.sciencedirect.com/science/article/pii/S0736584518303685?via%3Dihub
Deposited by: Memoria Investigacion
Deposited on: 19 May 2021 17:12
Last Modified: 19 May 2021 17:12
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