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A literature survey of the robotic technologies during the COVID-19 pandemic
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-9694-0483
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-8679-8049
2021 (English)In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 60, p. 823-836Article in journal (Refereed) Published
Abstract [en]

Since the late 2019, the COVID-19 pandemic has been spread all around the world. The pandemic is a critical challenge to the health and safety of the general public, the medical staff and the medical systems worldwide. It has been globally proposed to utilise robots during the pandemic, to improve the treatment of patients and leverage the load of the medical system. However, there is still a lack of detailed and systematic review of the robotic research for the pandemic, from the technologies' perspective. Thus a thorough literature survey is conducted in this research and more than 280 publications have been reviewed, with the focus on robotics during the pandemic. The main contribution of this literature survey is to answer two research questions, i.e. 1) what the main research contributions are to combat the pandemic from the robotic technologies' perspective, and 2) what the promising supporting technologies are needed during and after the pandemic to help and guide future robotics research. The current achievements of robotic technologies are reviewed and discussed in different categories, followed by the identification of the representative work's technology readiness level. The future research trends and essential technologies are then highlighted, including artificial intelligence, 5 G, big data, wireless sensor network, and human-robot collaboration.

Place, publisher, year, edition, pages
Elsevier BV , 2021. Vol. 60, p. 823-836
Keywords [en]
Robot, Robotics, COVID-19, Coronavirus, SARS-CoV-2
National Category
Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:kth:diva-302005DOI: 10.1016/j.jmsy.2021.02.005ISI: 000690869500005PubMedID: 33612914Scopus ID: 2-s2.0-85101696004OAI: oai:DiVA.org:kth-302005DiVA, id: diva2:1594806
Note

QC 20210916

Available from: 2021-09-16 Created: 2021-09-16 Last updated: 2025-02-20Bibliographically approved

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Wang, Xi VincentWang, Lihui

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