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Robots Under COVID-19 Pandemic: A Comprehensive Survey.

作者信息

Shen Yang, Guo Dejun, Long Fei, Mateos Luis A, Ding Houzhu, Xiu Zhen, Hellman Randall B, King Adam, Chen Shixun, Zhang Chengkun, Tan Huan

机构信息

UBTECH North America Research and Development Center Pasadena CA 91101 USA.

出版信息

IEEE Access. 2020 Dec 18;9:1590-1615. doi: 10.1109/ACCESS.2020.3045792. eCollection 2021.


DOI:10.1109/ACCESS.2020.3045792
PMID:34976569
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8675561/
Abstract

As a result of the difficulties brought by COVID-19 and its associated lockdowns, many individuals and companies have turned to robots in order to overcome the challenges of the pandemic. Compared with traditional human labor, robotic and autonomous systems have advantages such as an intrinsic immunity to the virus and an inability for human-robot-human spread of any disease-causing pathogens, though there are still many technical hurdles for the robotics industry to overcome. This survey comprehensively reviews over 200 reports covering robotic systems which have emerged or have been repurposed during the past several months, to provide insights to both academia and industry. In each chapter, we cover both the advantages and the challenges for each robot, finding that robotics systems are overall apt solutions for dealing with many of the problems brought on by COVID-19, including: diagnosis, screening, disinfection, surgery, telehealth, care, logistics, manufacturing and broader interpersonal problems unique to the lockdowns of the pandemic. By discussing the potential new robot capabilities and fields they applied to, we expect the robotics industry to take a leap forward due to this unexpected pandemic.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/da2394d9a5a2/shen12ab-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/f36924e2a58b/shen1-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/a817eba3dbdd/shen2abcd-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/bf6991570273/shen3abcde-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/32ce0e550936/shen4abcd-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/1860b956bb47/shen5ab-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/9fa35714e82e/shen6a-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/89935e1e4759/shen7abcdef-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/a3264ffb0def/shen8abcde-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/12aebb5326f2/shen9abcdef-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/aca940f274fd/shen10abcd-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/dbab28b70a35/shen11ab-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/da2394d9a5a2/shen12ab-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/f36924e2a58b/shen1-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/a817eba3dbdd/shen2abcd-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/bf6991570273/shen3abcde-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/32ce0e550936/shen4abcd-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/1860b956bb47/shen5ab-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/9fa35714e82e/shen6a-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/89935e1e4759/shen7abcdef-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/a3264ffb0def/shen8abcde-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/12aebb5326f2/shen9abcdef-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/aca940f274fd/shen10abcd-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/dbab28b70a35/shen11ab-3045792.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6536/8675561/da2394d9a5a2/shen12ab-3045792.jpg

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Robots Under COVID-19 Pandemic: A Comprehensive Survey.

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[6]
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[7]
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[8]
Application of artificial intelligence (AI) to control COVID-19 pandemic: Current status and future prospects.

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[9]
Telehealth interventions during COVID-19 pandemic: a scoping review of applications, challenges, privacy and security issues.

BMJ Health Care Inform. 2023-8

[10]
Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead.

J King Saud Univ Comput Inf Sci. 2022-9

本文引用的文献

[1]
Robotic Urological Surgery in the Time of COVID-19: Challenges and Solutions.

Urol Pract. 2020-11

[2]
Design of a Low-Cost Miniature Robot to Assist the COVID-19 Nasopharyngeal Swab Sampling.

IEEE Trans Med Robot Bionics. 2020-11-6

[3]
Mobile Robotic Platform for Contactless Vital Sign Monitoring.

Cyborg Bionic Syst. 2022

[4]
COVID surveillance robot: Monitoring social distancing constraints in indoor scenarios.

PLoS One. 2021

[5]
COVID-19 Control by Computer Vision Approaches: A Survey.

IEEE Access. 2020-9-29

[6]
Tele-Operative Low-Cost Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients.

IEEE Robot Autom Lett. 2021-7

[7]
Lio-A Personal Robot Assistant for Human-Robot Interaction and Care Applications.

IEEE Robot Autom Lett. 2020-7-7

[8]
Review of Sterilization Techniques for Medical and Personal Protective Equipment Contaminated With SARS-CoV-2.

IEEE Access. 2020-6-16

[9]
A critical review of the safety of minimally invasive surgery in the era of COVID-19.

Minim Invasive Ther Allied Technol. 2022-3

[10]
Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?

J Manuf Syst. 2021-7

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