Editorial: Applying robotics and AI in pandemics (COVID-19): detection, diagnosis and delivery

Fang, B., Su, H. and Oyekan, J. (2022) Editorial: Applying robotics and AI in pandemics (COVID-19): detection, diagnosis and delivery. Frontiers in Robotics and AI, 9. 1039273. ISSN 2296-9144

Metadata

Item Type: Article
Authors/Creators:
  • Fang, B.
  • Su, H.
  • Oyekan, J.
Copyright, Publisher and Additional Information:

Copyright © 2022 Fang, Su and Oyekan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms (https://creativecommons.org/licenses/by/4.0/).
Keywords: autonomous agents; pandemics (COVID-19); detection; infection control; delivery
Dates:
  • Published: 26 September 2022
  • Published (online): 26 September 2022
  • Accepted: 12 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)
Depositing User: Symplectic Sheffield
Date Deposited: 20 Oct 2022 11:21
Last Modified: 20 Oct 2022 11:21
Status: Published
Publisher: Frontiers Media S.A.
Refereed: Yes
Identification Number: 10.3389/frobt.2022.1039273
Open Archives Initiative ID (OAI ID):

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