基于病毒热点的自主消毒机器人，效率提升三成以上
Development of an Autonomous Mobile Robotic System for Efficient and Precise Disinfection
- 按病毒高风险区域优先消毒，动态优化紫外线剂量
- 在两个医院场景中分别缩短30.7%和31.9%消毒时间
- 适合医院、养老院等需精准高效消毒的场所
新冠疫情严重冲击公共健康与医疗系统，资源短缺与人力不足凸显医院自动化需求，尤其是消毒环节。紫外线（UV）消毒因高效被广泛采用，但现有研究多关注覆盖率，忽视人员活动对病毒分布的影响。为此，我们提出一种面向病毒热点的自主移动消毒机器人系统，优先处理高风险区域，并通过优化紫外线剂量确保表面充分暴露，显著减少低风险区的无效照射。在两个典型医院场景中，该方法实现同等消毒效果的同时，消毒时间分别减少30.7%和31.9%。实验视频见：https://youtu.be/wHcWzOcoMPM。
原文摘要 · Abstract (English)
The COVID-19 pandemic has severely affected public health, healthcare systems, and daily life, especially amid resource shortages and limited workers. This crisis has underscored the urgent need for automation in hospital environments, particularly disinfection, which is crucial to controlling virus transmission and improving the safety of healthcare personnel and patients. Ultraviolet (UV) light disinfection, known for its high efficiency, has been widely adopted in hospital settings. However, most existing research focuses on maximizing UV coverage while paying little attention to the impact of human activity on virus distribution. To address this issue, we propose a mobile robotic system for UV disinfection focusing on the virus hotspot. The system prioritizes disinfection in high-risk areas and employs an approach for optimized UV dosage to ensure that all surfaces receive an adequate level of UV exposure while significantly reducing disinfection time. It not only improves disinfection efficiency but also minimizes unnecessary exposure in low-risk areas. In two representative hospital scenarios, our method achieves the same disinfection effectiveness while reducing disinfection time by 30.7% and 31.9%, respectively. The video of the experiment is available at: https://youtu.be/wHcWzOcoMPM.
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