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A literature survey of the robotic technologies during the COVID-19 pandemic
Journal of Manufacturing Systems ( IF 12.1 ) Pub Date : 2021-02-13 , DOI: 10.1016/j.jmsy.2021.02.005
Xi Vincent Wang 1 , Lihui Wang 1
Affiliation  

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.



中文翻译:

COVID-19 大流行期间机器人技术的文献调查

自 2019 年底以来,COVID-19 大流行已在全球蔓延。这场大流行病对全世界公众、医务人员和医疗系统的健康和安全构成了严峻挑战。全球都提议在大流行期间使用机器人,以改善对患者的治疗并利用医疗系统的负载。然而,从技术的角度来看,仍然缺乏对大流行机器人研究的详细和系统的审查。因此,本研究进行了彻底的文献调查,并审查了 280 多篇出版物,重点是大流行期间的机器人技术。本次文献调查的主要贡献是回答两个研究问题,即 1) 从机器人技术的角度来看,抗击大流行的主要研究贡献是什么,以及 2) 在大流行期间和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。对机器人技术的当前成就进行了不同类别的审查和讨论,然后确定了代表性工作的技术准备水平。然后突出了未来的研究趋势和关键技术,包括人工智能、5G、大数据、无线传感器网络和人机协作。对机器人技术的当前成就进行了不同类别的审查和讨论,然后确定了代表性工作的技术准备水平。然后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、无线传感器网络和人机协作。对机器人技术的当前成就进行了不同类别的审查和讨论,然后确定了代表性工作的技术准备水平。然后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、无线传感器网络和人机协作。

更新日期:2021-02-15
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