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Robotics and Drone-Based Solution for the Impact of COVID-19 Worldwide Using AI and IoT
Studies in Systems, Decision and Control ; 324:139-156, 2021.
Article in English | Scopus | ID: covidwho-1130688
ABSTRACT
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. The disease causes a respiratory illness with symptoms like cough and fever and, in more severe cases, causes difficulty while breathing. COVID-19 spreads primarily through contact with an infected person when they sneeze or cough or by touching a surface that has that virus on it and then touching our mouth, nose, or eyes. The disease was first observed in the central Chinese city of Wuhan at the end of 2019. The outbreak has been declared a global pandemic. The novel coronavirus is already reorienting our lives, but the crisis moments also present an opportunity for more sophisticated and flexible use of technology. The epidemic is impacting the global population as the number of cases is increasing rapidly, and there is an urgent need to stop the virus from spreading. The outbreak has triggered massive demand for digital health solutions, and for this, the drones and robots present an excellent method for automation of manual activities. Drones and robots can be used to provide services to the patients and those who are quarantined and are the most desirable and safe way to fight against the outbreak and limit contamination and spread of the virus. The following chapter will discuss the various solutions based on drones and robots in the field of AI and IoT, such as drones being used for social distancing and robots for sanitization. Further, analysis has been made about the total number of cases and deaths around the world and also how it has affected humanity and what measures have been taken to control this deadly disease. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: Studies in Systems, Decision and Control Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: Studies in Systems, Decision and Control Year: 2021 Document Type: Article