Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection

被引:14
作者
Conroy, Jonathan [1 ]
Thierauf, Christopher [1 ]
Rule, Parker [1 ]
Krause, Evan [1 ]
Akitaya, Hugo [2 ]
Gonczi, Andrei [1 ]
Korman, Matias [3 ]
Scheutz, Matthias [1 ]
机构
[1] Tufts Univ, Medford, MA 02155 USA
[2] Univ Massachusetts Lowell, Lowell, MA USA
[3] Siemens Elect Design Automat, Wilsonville, OR USA
来源
2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) | 2021年
关键词
D O I
10.1109/ICRA48506.2021.9561405
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Regular irradiation of indoor environments with ultraviolet C (UVC) light has become a regular task for many indoor settings as a result of COVID-19, but current robotic systems attempting to automate it suffer from high costs and inefficient irradiation. In this paper, we propose a purpose-made inexpensive robotic platform with off-the-shelf components and standard navigation software that, with a novel algorithm for finding optimal irradiation locations, addresses both shortcomings to offer affordable and efficient solutions for UVC irradiation. We demonstrate in simulations the efficacy of the algorithm and show a prototypical run of the autonomous integrated robotic system in an indoor environment. In our sample instances, our proposed algorithm reduces the time needed by roughly 30% while it increases the coverage by a factor of 35% (when compared to the best possible placement of a static light).
引用
收藏
页码:7795 / 7801
页数:7
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