{"title":"An Internet of Robotic Things System for combating coronavirus disease pandemic(COVID-19)","authors":"E. Leila, S. Othman, H. Sakli","doi":"10.1109/STA50679.2020.9329310","DOIUrl":null,"url":null,"abstract":"The end of 2019 marked the emergence of a severe acute respiratory syndrome called COVID-19, which created an international public emergency and caused an epidemic. By the moment this paper was written, the number of diagnosed COVID-19 cases around the world reaches more than 30 million. As observed, doctors are at high risk of being infected when they are around patients. To date, physical distancing is the only measure to control the spread of the coronavirus. A statistic made by the World Health Organization (WHO) in September 2020 shows that around 14% of COVID-19 cases reported to WHO are among health workers, illustrating the challenges front-line medical staff face. Robots and drones may be prominent and effective solutions. Besides, robot minimizes person-to-person contact, provide cleaning, education, raise awareness, and support in hospitals and quarantine homes. In this paper, we propose an Internet of Robotic Things System for combating the coronavirus disease pandemic. It collects values of measurable medicals parameters anywhere and anytime and transmits them to the Cloud to be saved and interpreted by a doctor since the healthcare service in the hospital. In hospitals, the robot acting as the intermediary between the physical elements present in the hospital and an information cloud, which saves the values relating to each patient and provides them on-demand via the Internet connection. Keywords: COVID-19, Internet of Things, Sensors, Robot.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STA50679.2020.9329310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The end of 2019 marked the emergence of a severe acute respiratory syndrome called COVID-19, which created an international public emergency and caused an epidemic. By the moment this paper was written, the number of diagnosed COVID-19 cases around the world reaches more than 30 million. As observed, doctors are at high risk of being infected when they are around patients. To date, physical distancing is the only measure to control the spread of the coronavirus. A statistic made by the World Health Organization (WHO) in September 2020 shows that around 14% of COVID-19 cases reported to WHO are among health workers, illustrating the challenges front-line medical staff face. Robots and drones may be prominent and effective solutions. Besides, robot minimizes person-to-person contact, provide cleaning, education, raise awareness, and support in hospitals and quarantine homes. In this paper, we propose an Internet of Robotic Things System for combating the coronavirus disease pandemic. It collects values of measurable medicals parameters anywhere and anytime and transmits them to the Cloud to be saved and interpreted by a doctor since the healthcare service in the hospital. In hospitals, the robot acting as the intermediary between the physical elements present in the hospital and an information cloud, which saves the values relating to each patient and provides them on-demand via the Internet connection. Keywords: COVID-19, Internet of Things, Sensors, Robot.