Adoption of Robots for Disasters: Lessons from the Response to COVID-19
Adoption of Robots for Disasters: Lessons from the Response to COVID-19
复制标题
DOI：
10.1561/2300000062
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
R. Murphy;Vignesh Babu Manjunath Gandudi;Justin Adams;A. Clendenin;Jason B. Moats
中科院分区：
文献类型：
--
作者：
R. Murphy;Vignesh Babu Manjunath Gandudi;Justin Adams;A. Clendenin;Jason B. Moats
本文介绍了如何在灾难期间采用机器人创新，并使用 COVID-19 响应作为自然实验和案例研究。本文基于对 34 个国家的 203 个地面和空中机器人实例的 R4ID 数据集的分析，这些实例在 2020 年 1 月 24 日至 2020 年 7 月 4 日期间被媒体、社交媒体和科学文献明确报道，这些机器人的使用是由于 COVID-19 大流行而使用的。虽然报告没有提供足够的细节来确定特定算法或特定子系统（例如感知、操作或自主性）中的差距，但数据的规模和普遍性允许我们检查三个问题：1）灾难期间对机器人的需求是如何产生的；2）现有技术成熟的机器人、改造现有机器人或创新新机器人是否可以满足这些需求；3）机器人的主要障碍是什么？
This article describes how robot innovations are adopted during a disaster using the COVID-19 response both as a natural experiment and a case study. The article is based on an analysis of the R4ID dataset of 203 instances of ground and aerial robots in 34 countries explicitly reported in the press, social media, and scientific literature from January 24, 2020, to July 4, 2020, as being used due to the COVID-19 pandemic. While the reports do not provide sufficient detail to ascertain gaps in specific algorithms or specific subsystems, such as perception, manipulation, or autonomy, the size and the pervasiveness of the data permits examination of three questions: 1) how the need for a robot arises during a disaster, 2) whether those needs are met with existing technically mature robots, adapting existing robots, or in-novating new robots, and 3) what are the major barriers to