ROSIE: A ROS adapter for a modular digital twinning framework

Pisanelli, G., Tymczuk, M., Douthwaite, J.A. orcid.org/0000-0002-7149-0372 et al. (2 more authors) (2022) ROSIE: A ROS adapter for a modular digital twinning framework. In: Proceedings of 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 29 Aug - 02 Sep 2022, Napoli, Italy. Institute of Electrical and Electronics Engineers (IEEE) , pp. 1297-1304. ISBN 9781665406802

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 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: Adaptation models; Collaboration; Process control; Data models; Digital twins; Safety; Speech processing
Dates:
  • Published (online): 30 September 2022
  • Published: 30 September 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > University of Sheffield Research Centres and Institutes > AMRC with Boeing (Sheffield)
The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC with Boeing (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 22 Feb 2023 16:14
Last Modified: 30 Sep 2023 00:13
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/ro-man53752.2022.9900842
Related URLs:

Export

Statistics