Abstract
Surfaces contaminated with SARS-CoV-2 or other such viruses pose a grave threat to the safety of individuals. Mobile robots mounted with ultraviolet (UV) light attachments are ideal for disinfecting hospital rooms, shopping centers and other public spaces. This paper mainly discusses the steps involved in making an autonomous UV Disinfectant robot and its functionalities. The UV Disinfectant robot initially maps the environment with the help of a user and subsequently localizes itself in the map and is able to autonomously navigate to a selected location in the map. The user must select waypoints in the generated map determining the locations where disinfection is required. After the waypoint generation of a map, the robot can autonomously navigate through the map disinfecting given locations. The robot is equipped with 6 UVC lights around a central column, which is fixed to a mobile robotic platform that has required sensors. The robot can be used as a part of the regular cleaning crew and it aids in reducing the spread of infectious diseases, viruses, bacteria, and other types of harmful microorganisms in the environment. ROS framework is used to program the robot.
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Acknowledgements
The authors would like to thank MU Vice-chancellor Medury Yajulu, Professor Arya K Bhattacharya and Professor Bishnu Pal for providing support and key inputs during this work. We would Also like to thanks Prof. S.K.Saha from IIT Delhi who introduces us to mobile platform Robomuse 5 from where we tool the inspiration to develop this UVC robot.
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Reddy Gade, V., Seth, D., Agrawal, M.K., Tamma, B. (2021). Development of Autonomous UVC Disinfectant Robot. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. AI, Product and Service. HCII 2021. Lecture Notes in Computer Science(), vol 12778. Springer, Cham. https://doi.org/10.1007/978-3-030-77820-0_11
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