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Robots as intelligent assistants to face COVID-19 pandemic.
Seidita, Valeria; Lanza, Francesco; Pipitone, Arianna; Chella, Antonio.
  • Seidita V; University of Palermo, Italy.
  • Lanza F; University of Palermo.
  • Pipitone A; University of Palermo.
  • Chella A; University of Palermo.
Brief Bioinform ; 22(2): 823-831, 2021 03 22.
Article in English | MEDLINE | ID: covidwho-1343643
ABSTRACT
MOTIVATION The epidemic at the beginning of this year, due to a new virus in the coronavirus family, is causing many deaths and is bringing the world economy to its knees. Moreover, situations of this kind are historically cyclical. The symptoms and treatment of infected patients are, for better or worse even for new viruses, always the same more or less severe flu symptoms, isolation and full hygiene. By now man has learned how to manage epidemic situations, but deaths and negative effects continue to occur. What about technology? What effect has the actual technological progress we have achieved? In this review, we wonder about the role of robotics in the fight against COVID. It presents the analysis of scientific articles, industrial initiatives and project calls for applications from March to now highlighting how much robotics was ready to face this situation, what is expected from robots and what remains to do.

RESULTS:

The analysis was made by focusing on what research groups offer as a means of support for therapies and prevention actions. We then reported some remarks on what we think is the state of maturity of robotics in dealing with situations like COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics / Pandemics / COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Brief Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article Affiliation country: Bib

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics / Pandemics / COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Brief Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article Affiliation country: Bib