Zhang Junshi, Liu Lei, Zhu Mingliang, Li Dichen, Lu Jian
School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, 710072, China.
Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518063, China.
Heliyon. 2023 Feb;9(2):e13731. doi: 10.1016/j.heliyon.2023.e13731. Epub 2023 Feb 14.
In recent years, COVID-19 has spread across the whole world, and manpowered collection of pharyngeal samples undoubtedly increases the possibility of cross-infections. In this article, based on our previous fabricated soft manipulator (, 2021, 2, 100600), we performed the COVID-19 sampling on real human volunteers by exploiting a pre-programmed unmanned system. The unmanned sampling system mainly includes a soft manipulator and a rigid motion platform, which are adjusted by pneumatic control box and the motor control modules, respectively. Drawn on the lead-through teaching method, the unmanned sampling of COVID-19 is realized by recording the applied pressure in soft manipulator and the feed motion of rigid platform. This research provides a potential approach for unmanned COVID-19 sampling, solving the risk of cross-infection during manual collection.
近年来，新冠病毒在全球范围内传播，人工采集咽拭子样本无疑增加了交叉感染的可能性。在本文中，基于我们之前制作的软机械手（，2021，2，100600），我们通过利用预编程的无人系统对真实人类志愿者进行了新冠病毒采样。无人采样系统主要包括一个软机械手和一个刚性运动平台，它们分别由气动控制箱和电机控制模块进行调节。借鉴示教再现法，通过记录软机械手中施加的压力和刚性平台的进给运动，实现了新冠病毒的无人采样。本研究为新冠病毒的无人采样提供了一种潜在方法，解决了人工采集过程中的交叉感染风险。
