JPMDP: Joint base placement and multi-configuration path planning for 3D surface disinfection with a UV-C robotic system

被引:2
|
作者
Zhang, Chenyu [1 ,2 ]
Qin, Haohao [2 ]
Sun, Shiying [2 ]
Pan, Yi [1 ,2 ]
Liu, Kuan [1 ,2 ]
Li, Tao [3 ]
Zhao, Xiaoguang [2 ]
机构
[1] Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
[2] Inst Automat, Chinese Acad Sci, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
[3] Chinese Peoples Liberat Army Gen Hosp, Med Artificial Intelligence Res Ctr, Dept Med Innovat Res, Beijing, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Mobile manipulator; Coverage planning; Base position optimization; Disinfection; GENETIC ALGORITHM; COVERAGE;
D O I
10.1016/j.robot.2024.104644
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To effectively mitigate the spread of epidemics, disinfection robots are increasingly utilized for automatic disinfection. However, tradition robots and disinfection methods cannot ensure controllable disinfection coverage, potentially causing damage to sensitive surfaces and humans. In this paper, we introduce a novel Ultraviolet -C disinfection robot system built on the mobile manipulator structure. We propose a new multi -side disinfection end -effector to broaden the disinfection scope and improve adaptability to complex surfaces. In order to coordinate the movements of the base and manipulator, we propose a joint base placement and multi -configuration disinfected path planning(JPMDP) method. The algorithm generates the minimal number of mobile base placements and forms the disinfection path with the shortest working time. We have conducted extensive experiments in both simulated and real environments. Experimental results demonstrate that our system offers more comprehensive coverage in less time compared to traditional strategies, making it more efficient and adaptable to complex environments.
引用
收藏
页数:13
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