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An analysis of international use of robots for COVID-19 [Image: see text]

This article analyses data collected from press reports, social media, and the scientific literature on 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries. The analysis was guided by four overarching questions: (1) What were robots use...

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Autores principales: Murphy, Robin R., Gandudi, Vignesh B.M., Amin, Trisha, Clendenin, Angela, Moats, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591979/
https://www.ncbi.nlm.nih.gov/pubmed/34803220
http://dx.doi.org/10.1016/j.robot.2021.103922
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author Murphy, Robin R.
Gandudi, Vignesh B.M.
Amin, Trisha
Clendenin, Angela
Moats, Jason
author_facet Murphy, Robin R.
Gandudi, Vignesh B.M.
Amin, Trisha
Clendenin, Angela
Moats, Jason
author_sort Murphy, Robin R.
collection PubMed
description This article analyses data collected from press reports, social media, and the scientific literature on 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries. The analysis was guided by four overarching questions: (1) What were robots used for in the COVID-19 response? (2) When were they used? (3) How did different countries innovate? and 4) Did having a national policy on robotics influence a country’s innovation and insertion of robotics for COVID-19? The findings indicate that robots were used for six different sociotechnical work domains and 29 discrete use cases. When robots were used varied greatly on the country; although many countries did report an increase at the beginning of their first surge. To understand the findings of how innovation occurred, the data was examined through the lens of the technology’s maturity according to NASA’s Technical Readiness Assessment metrics. Through this lens, findings note that existing robots were used for more than 78% of the instances; slightly modified robots made up 10%; and truly novel robots or novel use cases constituted 12% of the instances. The findings clearly indicate that countries with a national robotics initiative were more likely to use robotics more often and for broader purposes. Finally, the dataset and analysis produces a broad set of implications that warrant further study and investigation. The results from this analysis are expected to be of value to the robotics and robotics policy community in preparing robots for rapid insertion into future disasters.
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spelling pubmed-85919792021-11-15 An analysis of international use of robots for COVID-19 [Image: see text] Murphy, Robin R. Gandudi, Vignesh B.M. Amin, Trisha Clendenin, Angela Moats, Jason Rob Auton Syst Article This article analyses data collected from press reports, social media, and the scientific literature on 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries. The analysis was guided by four overarching questions: (1) What were robots used for in the COVID-19 response? (2) When were they used? (3) How did different countries innovate? and 4) Did having a national policy on robotics influence a country’s innovation and insertion of robotics for COVID-19? The findings indicate that robots were used for six different sociotechnical work domains and 29 discrete use cases. When robots were used varied greatly on the country; although many countries did report an increase at the beginning of their first surge. To understand the findings of how innovation occurred, the data was examined through the lens of the technology’s maturity according to NASA’s Technical Readiness Assessment metrics. Through this lens, findings note that existing robots were used for more than 78% of the instances; slightly modified robots made up 10%; and truly novel robots or novel use cases constituted 12% of the instances. The findings clearly indicate that countries with a national robotics initiative were more likely to use robotics more often and for broader purposes. Finally, the dataset and analysis produces a broad set of implications that warrant further study and investigation. The results from this analysis are expected to be of value to the robotics and robotics policy community in preparing robots for rapid insertion into future disasters. Elsevier B.V. 2022-02 2021-11-15 /pmc/articles/PMC8591979/ /pubmed/34803220 http://dx.doi.org/10.1016/j.robot.2021.103922 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Murphy, Robin R.
Gandudi, Vignesh B.M.
Amin, Trisha
Clendenin, Angela
Moats, Jason
An analysis of international use of robots for COVID-19 [Image: see text]
title An analysis of international use of robots for COVID-19 [Image: see text]
title_full An analysis of international use of robots for COVID-19 [Image: see text]
title_fullStr An analysis of international use of robots for COVID-19 [Image: see text]
title_full_unstemmed An analysis of international use of robots for COVID-19 [Image: see text]
title_short An analysis of international use of robots for COVID-19 [Image: see text]
title_sort analysis of international use of robots for covid-19 [image: see text]
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591979/
https://www.ncbi.nlm.nih.gov/pubmed/34803220
http://dx.doi.org/10.1016/j.robot.2021.103922
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