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- W4385987066 abstract "<p>The effective disinfection of hospitals is paramount in lowering the COVID-19 transmission risk to both patients and medical personnel. Autonomous mobile robots can perform the surface disinfection task in a timely and cost-effective manner, while preventing the direct contact of disinfecting agents with humans. This paper proposes an end-to-end coverage path planning technique that generates a continuous and uninterrupted collision-free path for a mobile robot to cover an area of interest. The aim of this work is to decrease the disinfection task completion time and cost by finding an optimal coverage path using a new graph-based representation of the environment. The results are compared with other existing state-of-the-art coverage path planning approaches. It is shown that the proposed approach generates a path with shorter total travelled distance (fewer number of overlaps) and smaller number of turns.</p>" @default.
- W4385987066 created "2023-08-19" @default.
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- W4385987066 date "2023-08-18" @default.
- W4385987066 modified "2023-10-06" @default.
- W4385987066 title "Efficient Coverage Path Planning for Mobile Disinfecting Robots Using Graph-Based Representation of Environment" @default.
- W4385987066 doi "https://doi.org/10.32920/23989458" @default.
- W4385987066 hasPublicationYear "2023" @default.
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