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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.11270 |
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| _version_ | 1866912484210769920 |
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| author | Ou, Ting-Wei Jiang, Jia-Hao Huang, Guan-Lin Young, Kuu-Young |
| author_facet | Ou, Ting-Wei Jiang, Jia-Hao Huang, Guan-Lin Young, Kuu-Young |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11270 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Development of an Autonomous Mobile Robotic System for Efficient and Precise Disinfection Ou, Ting-Wei Jiang, Jia-Hao Huang, Guan-Lin Young, Kuu-Young Robotics 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. |
| title | Development of an Autonomous Mobile Robotic System for Efficient and Precise Disinfection |
| topic | Robotics |
| url | https://arxiv.org/abs/2507.11270 |