NDLI: Digital Twin and Virtual Reality Based Methodology for Multi-Robot Manufacturing Cell Commissioning

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Digital Twin and Virtual Reality Based Methodology for Multi-Robot Manufacturing Cell Commissioning

Content Provider	MDPI
Author	Luis, Pérez Silvia, Rodríguez-Jiménez Nuria, Rodríguez Daniel, F. García Usamentiaga, Rubén
Copyright Year	2020
Description	Intelligent automation, including robotics, is one of the current trends in the manufacturing industry in the context of “Industry 4.0”, where cyber-physical systems control the production at automated or semi-automated factories. Robots are perfect substitutes for a skilled workforce for some repeatable, general, and strategically-important tasks. However, this transformation is not always feasible and immediate, since certain technologies do not provide the required degree of flexibility. The introduction of collaborative robots in the industry permits the combination of the advantages of manual and automated production. In some processes, it is necessary to incorporate robots from different manufacturers, thus the design of these multi-robot systems is crucial to guarantee the maximum quality and efficiency. In this context, this paper presents a novel methodology for process automation design, enhanced implementation, and real-time monitoring in operation based on creating a digital twin of the manufacturing process with an immersive virtual reality interface to be used as a virtual testbed before the physical implementation. Moreover, it can be efficiently used for operator training, real-time monitoring, and feasibility studies of future optimizations. It has been validated in a use case which provides a solution for an assembly manufacturing process.
Starting Page	3633
e-ISSN	20763417
DOI	10.3390/app10103633
Journal	Applied Sciences
Issue Number	10
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2020-05-24
Access Restriction	Open
Subject Keyword	Applied Sciences Manufacturing Engineering Digital Twin Virtual Reality Collaborative Robots Industry 4.0 Lean Automation Multi-robot Cell
Content Type	Text
Resource Type	Article

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