Augmented reality assisted calibration of digital twins of mobile robots

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dc.contributor.authorWilliams, Richard
dc.contributor.authorErkoyuncu, John Ahmet
dc.contributor.authorMasood, Tariq
dc.contributor.authorVrabič, Rok
dc.date.accessioned2021-03-29T13:52:49Z
dc.date.available2021-03-29T13:52:49Z
dc.date.issued2020-12-18
dc.description.abstractIn this age of globalisation and digitalisation, industry is evolving from a physical space information flow towards a two-way communication between virtual and physical space. The challenge that this research aims to resolve is: ‘how can a virtual system adjust itself to the constantly changing conditions of the physical space of information that influences the operational dynamics of maintenance in industry?’. This article presents an augmented reality (AR) assisted digital twin (DT) solution that can be used to calibrate mobile robots in maintenance environments. This DT solution was achieved by providing the user the ability to predict the battery charge of the mobile robot by using historic data as the input and providing the user a visual representation of the mobile robot’s movements using an AR device as a medium to display this digital data. Overall, the trial demonstration was a success in implementing a DT to calibrate a mobile robot with AR assistance. Therefore, this DT solution can be implemented into niche areas of industrial environments. With the capability of predicting the battery charge enabling the user to know when the mobile robot will be empty, the user can maximise its use before recalling it for the charge. This would improve the accuracy of scheduling when mobile robots can be deployed and maximise the utilization of the robot and reduce the running cost of mobile robots in the long termen_UK
dc.identifier.citationWilliams R, Erkoyuncu JA, Masood T, Vrabic R. (2020) Augmented reality assisted calibration of digital twins of mobile robots. IFAC-PapersOnLine, Volume 53, Issue 3, 2020, pp.203-208en_UK
dc.identifier.issn2405-8963
dc.identifier.urihttps://doi.org/10.1016/j.ifacol.2020.11.033
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16516
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPredictionen_UK
dc.subjectMobile Roboten_UK
dc.subjectARen_UK
dc.subjectAugmented Realityen_UK
dc.subjectDigital Twinen_UK
dc.titleAugmented reality assisted calibration of digital twins of mobile robotsen_UK
dc.typeArticleen_UK

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