Autonomous Mobile Robots Using Machine Learning Methods to Recognise the Rapid Spread of the Ongoing COVID-19 Epidemic

IF 1.2 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

Studies in Informatics and Control Pub Date : 2022-01-01 DOI:10.24846/v31i1y202208

A. Petrescu, L. Grigore, I. Oncioiu, F. Bîlcan, D. Popescu, M. Petrescu

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引用次数: 0

Abstract

The purpose of this article is to implement an algorithm that allows an autonomous ground robot to intervene for the rapid identification of patients with symptoms of COVID-19 in the absence of the medical staff needed to sort patients in hospitals. Based on this autonomous mobile robot-type UGV, it is possible to quickly detect people who show signs of infection with COVID-19. In order to address these problems, investigative equipment (for 3D perception, mapping, navigation, thermal scanning, thermal imaging, detection of facial expressions and of the presence or absence of masks, etc.), as well as behavioral control work were considered on complex scenarios, initially generated online and then by introducing random obstacles. The obtained results showed that the use of mobile robots for special purposes is thus an excellent solution, both for reducing the exposure of medical personnel to the virus, and for increasing the capacity to identify, analyse and warn about the observance of the protection protocols against COVID-19.

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自主移动机器人使用机器学习方法识别正在进行的COVID-19流行病的快速传播

本文的目的是实现一种算法，该算法允许自主地面机器人在医院没有医务人员对患者进行分类的情况下进行干预，以快速识别COVID-19症状患者。基于这种自主移动机器人型UGV，可以快速检测出感染新冠病毒的迹象。为了解决这些问题，研究人员在复杂的场景中考虑了调查设备(用于3D感知、地图绘制、导航、热扫描、热成像、面部表情检测和是否戴口罩等)以及行为控制工作，最初是在线生成的，然后通过引入随机障碍。获得的结果表明，将移动机器人用于特殊目的是一种极好的解决方案，既可以减少医务人员与病毒的接触，又可以提高识别、分析和警告遵守COVID-19保护协议的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Studies in Informatics and Control AUTOMATION & CONTROL SYSTEMS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE

CiteScore

2.70

自引率

25.00%

发文量

审稿时长

>12 weeks

期刊介绍： Studies in Informatics and Control journal provides important perspectives on topics relevant to Information Technology, with an emphasis on useful applications in the most important areas of IT. This journal is aimed at advanced practitioners and researchers in the field of IT and welcomes original contributions from scholars and professionals worldwide. SIC is published both in print and online by the National Institute for R&D in Informatics, ICI Bucharest. Abstracts, full text and graphics of all articles in the online version of SIC are identical to the print version of the Journal.