Abstract
Implementing methods that allow trajectory tracing for an autonomous robotic system is a topic that covers several fields of study since different parameters must be taken into account to locate obstacles to ensure proper navigation in environments where there is a moderate traffic of people. For this purpose, different methods of trajectory tracing will be implemented, which take as a reference the distance at which people are located. In addition, there are added human image recognition for avoid exposing people to UVC light. As a result, it can be observed that the methods implemented for the trajectory tracing give quite acceptable “pathing” results, since the main criterion to determine the efficiency is the SII, and thanks to the T265 and D435i sensors, it was possible to determine the presence of people in terms of image processing.
CIDIS-ESPOL.
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Autonomous Mobile Robot.
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Ultraviolet C.
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Social Forces Model.
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Social Individual Index.
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Velez Burgos, R., Ruiz, A.P., Mendoza, S.S., Paillacho Chiluiza, D., Paillacho Corredores, J. (2022). Implementation of an UVC Lights Desinfection System for a Differential Robot Applying Security Methods in Indoor. In: Botto-Tobar, M., Montes León, S., Torres-Carrión, P., Zambrano Vizuete, M., Durakovic, B. (eds) Applied Technologies. ICAT 2021. Communications in Computer and Information Science, vol 1535. Springer, Cham. https://doi.org/10.1007/978-3-031-03884-6_24
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