About: Segmenting areas of potential contamination for adaptive robotic disinfection in built environments

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Segmenting areas of potential contamination for adaptive robotic disinfection in built environments
Creator	Li, Shuai He, Qiang Hu, Da Tan, Jindong Zhong, Hai
Source	Elsevier; PMC
abstract	Mass-gathering built environments such as hospitals, schools, and airports can become hot spots for pathogen transmission and exposure. Disinfection is critical for reducing infection risks and preventing outbreaks of infectious diseases. However, cleaning and disinfection are labor-intensive, time-consuming, and health-undermining, particularly during the pandemic of the coronavirus disease in 2019. To address the challenge, a novel framework is proposed in this study to enable robotic disinfection in built environments to reduce pathogen transmission and exposure. First, a simultaneous localization and mapping technique is exploited for robot navigation in built environments. Second, a deep-learning method is developed to segment and map areas of potential contamination in three dimensions based on the object affordance concept. Third, with short-wavelength ultraviolet light, the trajectories of robotic disinfection are generated to adapt to the geometries of areas of potential contamination to ensure complete and safe disinfection. Both simulations and physical experiments were conducted to validate the proposed methods, which demonstrated the feasibility of intelligent robotic disinfection and highlighted the applicability in mass-gathering built environments.
has issue date	2020-08-26(xsd:dateTime)
bibo:doi	10.1016/j.buildenv.2020.107226
has license	no-cc
sha1sum (hex)	ff60b5fc659bec1d004f6ac4eefbb256e0127c1c
schema:url	https://doi.org/10.1016/j.buildenv.2020.107226
resource representing a document's title	Segmenting areas of potential contamination for adaptive robotic disinfection in built environments
has PubMed Central identifier	PMC7448966
schema:publication	Build Environ
resource representing a document's body	covid:ff60b5fc659bec1d004f6ac4eefbb256e0127c1c#body_text
is schema:about of	named entity 'preventing' named entity 'built environments' named entity 'hospitals' named entity 'Journal' named entity 'ROBOTIC' named entity 'HOSPITALS' named entity 'EXPERIMENTS' named entity 'CONTAMINATION' named entity 'HOT' named entity 'ULTRAVIOLET LIGHT' named entity 'BUILT ENVIRONMENTS' named entity 'robotic' named entity 'ultraviolet light' named entity 'navigation' named entity 'physical' named entity 'contamination' named entity 'segment' named entity 'cleaning' named entity 'intensive' named entity 'contamination' named entity 'map' named entity 'infectious diseases' named entity 'Adaptive' named entity 'contamination' named entity 'disinfection' named entity 'short-wavelength' named entity 'robot' named entity 'disinfection' named entity 'simultaneous' named entity 'semantic' named entity 'Semantic' named entity 'semantic' named entity 'affordance' named entity 'disinfection' named entity 'affordance' named entity 'Kinect' named entity 'asthma' named entity 'disinfection' named entity 'disinfection' named entity 'SARS-CoV-2' named entity 'pathogen' named entity 'disinfection' named entity 'focal length' named entity 'IoU' named entity 'disinfection' named entity 'Manhattan distance' named entity 'voxel space' named entity 'robot navigation' named entity 'high-touch' named entity 'disinfect' named entity 'norovirus' named entity 'UV light' named entity 'contaminated areas' named entity 'path planning' named entity 'training set' named entity 'disinfection' named entity 'building information model' named entity 'convolution' named entity 'SLAM' named entity 'disinfect' named entity 'reference frame' named entity 'point cloud' named entity 'microbial' named entity 'disinfection' named entity 'affordance' named entity 'affordance' named entity 'point cloud' named entity 'batch normalization' named entity 'COVID-19' named entity 'affordance' named entity 'disinfection' named entity 'semantic' named entity 'chronic obstructive pulmonary disease' named entity 'UV light' named entity 'germicidal' named entity 'voxel' named entity 'influenza' named entity 'affordance' named entity 'training set'

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