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关于新冠疫情期间机器人技术的文献综述。

A literature survey of the robotic technologies during the COVID-19 pandemic.

作者信息

Wang Xi Vincent, Wang Lihui

机构信息

Department of Production Engineering, KTH Royal Institute of Technology, Sweden.

出版信息

J Manuf Syst. 2021 Jul;60:823-836. doi: 10.1016/j.jmsy.2021.02.005. Epub 2021 Feb 13.

Abstract

Since the late 2019, the COVID-19 pandemic has been spread all around the world. The pandemic is a critical challenge to the health and safety of the general public, the medical staff and the medical systems worldwide. It has been globally proposed to utilise robots during the pandemic, to improve the treatment of patients and leverage the load of the medical system. However, there is still a lack of detailed and systematic review of the robotic research for the pandemic, from the technologies' perspective. Thus a thorough literature survey is conducted in this research and more than 280 publications have been reviewed, with the focus on robotics during the pandemic. The main contribution of this literature survey is to answer two research questions, i.e. 1) what the main research contributions are to combat the pandemic from the robotic technologies' perspective, and 2) what the promising supporting technologies are needed during and after the pandemic to help and guide future robotics research. The current achievements of robotic technologies are reviewed and discussed in different categories, followed by the identification of the representative work's technology readiness level. The future research trends and essential technologies are then highlighted, including artificial intelligence, 5 G, big data, wireless sensor network, and human-robot collaboration.

摘要

自2019年末以来,新冠疫情已在全球蔓延。这场疫情对全球公众、医护人员及医疗系统的健康与安全构成了严峻挑战。全球已提议在疫情期间使用机器人,以改善患者治疗情况并减轻医疗系统负担。然而,从技术角度来看,针对疫情的机器人研究仍缺乏详细且系统的综述。因此,本研究进行了全面的文献调查,已审阅了280多篇出版物,重点关注疫情期间的机器人技术。这项文献调查的主要贡献在于回答两个研究问题,即:1)从机器人技术角度来看,应对疫情的主要研究贡献有哪些;2)疫情期间及之后需要哪些有前景的支持技术来帮助和指导未来的机器人研究。本文对机器人技术的当前成果按不同类别进行了综述和讨论,随后确定了代表性作品的技术就绪水平。接着强调了未来的研究趋势和关键技术,包括人工智能、5G、大数据、无线传感器网络以及人机协作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68b4/7881735/eb8116c769df/gr1_lrg.jpg

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