Hutabarat, W. orcid.org/0000-0001-7393-7695, Oyekan, J., Turner, C. et al. (4 more authors) (2017) Combining virtual reality enabled simulation with 3D scanning technologies towards smart manufacturing. In: 2016 Winter Simulation Conference (WSC). 2016 Winter Simulation Conference (WSC), 11-14 Dec 2016, Washington, DC, USA. IEEE , pp. 2774-2785. ISBN 9781509044870
Abstract
Recent introduction of low-cost 3D sensing and affordable immersive virtual reality have lowered the barriers for creating and maintaining 3D virtual worlds. In this paper, we propose a way to combine these technologies with discrete-event simulation to improve the use of simulation in decision making in manufacturing. This work will describe how feedback is possible from real world systems directly into a simulation model to guide smart behaviors. Technologies included in the research include feedback from RGBD images of shop floor motion and human interaction within full immersive virtual reality that includes the latest headset technologies.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Solid modeling; Manufacturing; Data visualization; Three-dimensional displays; Virtual reality; Resists; Geometry |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/M506813/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Aug 2021 09:09 |
Last Modified: | 05 Aug 2021 09:15 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/wsc.2016.7822314 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:176759 |