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CovidSense: A Heterogeneous Robot System for Indoor Area for COVID-19 Mitigation using Deep Learning Techniques
2022 International Conference on Computer and Drone Applications, IConDA 2022 ; : 95-100, 2022.
Article in English | Scopus | ID: covidwho-2223126
ABSTRACT
The countermeasure for preventing COVID-19 should be further studied in order to make sure countries are prepared for the endemic phase. The biggest challenge of COVID-19 is its high infection rate and infection mortality rate. Robots offer a very good solution to this, hence, we developed a robot that can autonomously navigate a closed indoor room, sanitize it, and monitor social proximity practices. The quality of the hardware design, electronic system and software developments are conducted and experimental works to test the performance of the robot are performed. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 International Conference on Computer and Drone Applications, IConDA 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 International Conference on Computer and Drone Applications, IConDA 2022 Year: 2022 Document Type: Article