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.

翻译：本文讨论了机器人在重新开放学校时如何使学生能够持续获得安全居住保护的问题。 众所周知,固定空气过滤器没有被用作室内公共场所的主要预防流行病方法,因为固定空气过滤器无法及时在整个房间里捕获空气中的病原体。然而,通过将机器人的流动性与空气过滤结合起来,在多人周围清洁空气的功效大为增加。因此,开发了消毒共机器人原型,为室内聚集的人提供持续和方便居住的保护,特别是课堂情景中的学生。在一个学生坐以电网模式的静态教室中,移动机器人能够为每周期多达14名学生服务,同时将最坏情况的病原体剂量减少20%,并且比静态过滤器更坚固。通过调整过程和速度,机器人能够为更多的人服务,给人带来最坏的剂量门槛。