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Design and Autonomous Navigation of a New Indoor Disinfection Robot Based on Disinfection Modeling
Chio, Iong1; Ruan, Kaicheng1; Wu, Zehao1; Wong, Kit Iong2; Tam, Lap Mou3; Xu, Qingsong1
2023-01
Source PublicationIEEE Transactions on Automation Science and Engineering
ISSN1545-5955
Volume20Issue:1Pages:649 - 661
Abstract

The COVID-19 pandemic shows growing demand of robots to replace humans for conducting multiple tasks including logistics, patient care, and disinfection in contaminated areas. In this paper, a new autonomous disinfection robot is proposed based on aerosolized hydrogen peroxide disinfection method. Its unique feature lies in that the autonomous navigation is planned by developing an atomization disinfection model and a target detection algorithm, which enables cost-effective, point-of-care, and full-coverage disinfection of the air and surface in indoor environment. A prototype robot has been fabricated for experimental study. The effectiveness of the proposed concept design for automated indoor environmental disinfection has been verified with air and surface quality monitoring provided by a qualified third-party testing agency. Note to Practitioners - Robots are desirable to reduce the risk of human infection of highly contagious virus. For such purpose, a novel autonomous disinfection robot is designed herein for automated disinfection of air and surface in indoor environment. The robot structure consists of a mobile carrier platform and an atomizer disinfection module. The disinfection modeling is conducted by using the measurement data provided by a custom-built PM sensor array. To achieve cost-effective and qualified disinfection, a full-coverage path planning scheme is proposed based on the established disinfection model. Moreover, for specifically disinfecting the frequently contacted objects (e.g., tables and chairs in offices and hospitals), a target perception algorithm is proposed to mark the localization of these objects in the map, which are disinfected by the robot more carefully in these marked areas. Experimental results indicate that the developed disinfection robot offers great effectiveness to fight against the COVID-19 pandemic.

KeywordAerosolized Hydrogen Peroxide Atmospheric Modeling Disinfection Modeling Disinfection Robot Location Awareness Mobile Robot Navigation Navigation Control Navigation Planning Robots Simultaneous Localization And Mapping Slam Solid Modeling Wheels
DOI10.1109/TASE.2022.3165084
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaAutomation & Control Systems
WOS SubjectAutomation & Control Systems
WOS IDWOS:000785864600001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85128593092
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Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorXu, Qingsong
Affiliation1.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau, China
2.Institute for the Development and Quality, Macau, China
3.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau, China, and also with the Institute for the Development and Quality, Macau, China
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Chio, Iong,Ruan, Kaicheng,Wu, Zehao,et al. Design and Autonomous Navigation of a New Indoor Disinfection Robot Based on Disinfection Modeling[J]. IEEE Transactions on Automation Science and Engineering, 2023, 20(1), 649 - 661.
APA Chio, Iong., Ruan, Kaicheng., Wu, Zehao., Wong, Kit Iong., Tam, Lap Mou., & Xu, Qingsong (2023). Design and Autonomous Navigation of a New Indoor Disinfection Robot Based on Disinfection Modeling. IEEE Transactions on Automation Science and Engineering, 20(1), 649 - 661.
MLA Chio, Iong,et al."Design and Autonomous Navigation of a New Indoor Disinfection Robot Based on Disinfection Modeling".IEEE Transactions on Automation Science and Engineering 20.1(2023):649 - 661.
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