By the same authors

From the same journal

A Modular Digital Twinning Framework for Safety Assurance of Collaborative Robotics

Research output: Contribution to journalArticlepeer-review

Full text download(s)

Published copy (DOI)



Publication details

JournalFrontiers in Robotics and AI
DateAccepted/In press - 19 Nov 2021
DatePublished (current) - 10 Dec 2021
Original languageEnglish


Digital twins offer a unique opportunity to design, test, deploy, monitor, and control real-world robotic processes. In this paper we present a novel, modular digital twinning framework developed for the investigation of safety within collaborative robotic manufacturing processes. The modular architecture supports scalable representations of user-defined cyber-physical environments, and tools for safety analysis and control. This versatile research tool facilitates the creation of mixed environments of Digital Models, Digital Shadows, and Digital Twins, whilst standardising communication and physical system representation across different hardware platforms. The framework is demonstrated as applied to an industrial case-study focused on the safety assurance of a collaborative robotic manufacturing process. We describe the creation of a digital twin scenario, consisting of individual digital twins of entities in the manufacturing case study, and the application of a synthesised safety controller from our wider work. We show how the framework is able to provide adequate evidence to virtually assess safety claims made against the safety controller using a supporting validation module and testing strategy. The implementation, evidence and safety investigation is presented and discussed, raising exciting possibilities for the use of digital twins in robotic safety assurance.

Bibliographical note

© 2021 Douthwaite, Lesage, Gleirscher, Calinescu, Aitken, Alexander and Law.


Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations