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A Real-Time Distance Measurement System for a Digital Twin Using Mixed Reality Goggles

This paper presents a new system architecture for controlling industrial devices using Mixed Reality (MR) applications and a new method based upon them for measuring the distance between real and virtual points. The research has been carried out using a physical robot and its Digital Twin (DT). The...

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Detalles Bibliográficos
Autores principales: Lalik, Krzysztof, Flaga, Stanisław
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659522/
https://www.ncbi.nlm.nih.gov/pubmed/34883872
http://dx.doi.org/10.3390/s21237870
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author Lalik, Krzysztof
Flaga, Stanisław
author_facet Lalik, Krzysztof
Flaga, Stanisław
author_sort Lalik, Krzysztof
collection PubMed
description This paper presents a new system architecture for controlling industrial devices using Mixed Reality (MR) applications and a new method based upon them for measuring the distance between real and virtual points. The research has been carried out using a physical robot and its Digital Twin (DT). The possibility of controlling them using gestures recognized by Mixed Reality goggles has been presented. The extension of the robot’s environment with a 3D model capable of following its movements and positions was also analyzed. The system was supervised by an industrial Programmable Logic Controller (PLC) serving as an end point for the data sent by the goggles and controlling the movements of the real robot by activating the corresponding control. The results of the preliminary measurements presented here concerned the responsiveness of the system and showing the influence of system parameters in the accuracy of distance estimation between measured points.
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spelling pubmed-86595222021-12-10 A Real-Time Distance Measurement System for a Digital Twin Using Mixed Reality Goggles Lalik, Krzysztof Flaga, Stanisław Sensors (Basel) Article This paper presents a new system architecture for controlling industrial devices using Mixed Reality (MR) applications and a new method based upon them for measuring the distance between real and virtual points. The research has been carried out using a physical robot and its Digital Twin (DT). The possibility of controlling them using gestures recognized by Mixed Reality goggles has been presented. The extension of the robot’s environment with a 3D model capable of following its movements and positions was also analyzed. The system was supervised by an industrial Programmable Logic Controller (PLC) serving as an end point for the data sent by the goggles and controlling the movements of the real robot by activating the corresponding control. The results of the preliminary measurements presented here concerned the responsiveness of the system and showing the influence of system parameters in the accuracy of distance estimation between measured points. MDPI 2021-11-26 /pmc/articles/PMC8659522/ /pubmed/34883872 http://dx.doi.org/10.3390/s21237870 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lalik, Krzysztof
Flaga, Stanisław
A Real-Time Distance Measurement System for a Digital Twin Using Mixed Reality Goggles
title A Real-Time Distance Measurement System for a Digital Twin Using Mixed Reality Goggles
title_full A Real-Time Distance Measurement System for a Digital Twin Using Mixed Reality Goggles
title_fullStr A Real-Time Distance Measurement System for a Digital Twin Using Mixed Reality Goggles
title_full_unstemmed A Real-Time Distance Measurement System for a Digital Twin Using Mixed Reality Goggles
title_short A Real-Time Distance Measurement System for a Digital Twin Using Mixed Reality Goggles
title_sort real-time distance measurement system for a digital twin using mixed reality goggles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659522/
https://www.ncbi.nlm.nih.gov/pubmed/34883872
http://dx.doi.org/10.3390/s21237870
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