The paper discusses how robots enable occupant-safe continuous protection for students when schools reopen. Conventionally, fixed air filters are not used as a key pandemic prevention method for public indoor spaces because they are unable to trap the airborne pathogens in time in the entire room. However, by combining the mobility of a robot with air filtration, the efficacy of cleaning up the air around multiple people is largely increased. A disinfection co-robot prototype is thus developed to provide continuous and occupant-friendly protection to people gathering indoors, specifically for students in a classroom scenario. In a static classroom with students sitting in a grid pattern, the mobile robot is able to serve up to 14 students per cycle while reducing the worst-case pathogen dosage by 20%, and with higher robustness compared to a static filter. The extent of robot protection is optimized by tuning the passing distance and speed, such that a robot is able to serve more people given a threshold of worst-case dosage a person can receive.

中文翻译：

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从COVID-19重新开放期间，通过移动空气过滤提高学生的安全性

本文讨论了当学校重新开放时，机器人如何为学生提供对乘员安全的连续保护。常规地，固定空气过滤器不能用作公共室内空间的主要防流行方法，因为它们不能及时捕获整个房间中的空气传播的病原体。但是，通过将机器人的移动性与空气过滤相结合，可以大大提高净化多人周围空气的效率。因此，开发了一种消毒机器人共同体原型，以为聚集在室内的人们（尤其是教室环境中的学生）提供连续且对乘员友好的保护。在学生坐在网格状的静态教室中，移动机器人每个周期最多可为14名学生提供服务，同时将最坏情况下的病原体剂量减少了20％，与静态滤波器相比，具有更高的鲁棒性。通过调整行进距离和速度来优化机器人保护的程度，从而使机器人能够为更多的人提供服务，前提是该人可以接受的最坏情况剂量阈值。