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Implementation of an Embedded System into the Internet of Robotic Things

The article describes the use of embedded systems in the Industrial Internet of Things and its benefits for industrial robots. For this purpose, the article presents a case study, which deals with an embedded system using an advanced microcontroller designed to be placed directly on the robot. The p...

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Detalles Bibliográficos
Autores principales: Krejčí, Jakub, Babiuch, Marek, Babjak, Ján, Suder, Jiří, Wierbica, Rostislav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864087/
https://www.ncbi.nlm.nih.gov/pubmed/36677174
http://dx.doi.org/10.3390/mi14010113
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author Krejčí, Jakub
Babiuch, Marek
Babjak, Ján
Suder, Jiří
Wierbica, Rostislav
author_facet Krejčí, Jakub
Babiuch, Marek
Babjak, Ján
Suder, Jiří
Wierbica, Rostislav
author_sort Krejčí, Jakub
collection PubMed
description The article describes the use of embedded systems in the Industrial Internet of Things and its benefits for industrial robots. For this purpose, the article presents a case study, which deals with an embedded system using an advanced microcontroller designed to be placed directly on the robot. The proposed system is being used to collect information about industrial robot parameters that impact its behavior and its long-term condition. The device measures the robot’s surroundings parameters and its vibrations while working. Besides that, it also has an enormous potential to collect other parameters such as air pollution or humidity. The collected data are stored on the cloud platform and processed and analysed. The embedded system proposed in this article is conceived to be small and mobile, as it is a wireless system that can be easily applied to any industrial robot.
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spelling pubmed-98640872023-01-22 Implementation of an Embedded System into the Internet of Robotic Things Krejčí, Jakub Babiuch, Marek Babjak, Ján Suder, Jiří Wierbica, Rostislav Micromachines (Basel) Article The article describes the use of embedded systems in the Industrial Internet of Things and its benefits for industrial robots. For this purpose, the article presents a case study, which deals with an embedded system using an advanced microcontroller designed to be placed directly on the robot. The proposed system is being used to collect information about industrial robot parameters that impact its behavior and its long-term condition. The device measures the robot’s surroundings parameters and its vibrations while working. Besides that, it also has an enormous potential to collect other parameters such as air pollution or humidity. The collected data are stored on the cloud platform and processed and analysed. The embedded system proposed in this article is conceived to be small and mobile, as it is a wireless system that can be easily applied to any industrial robot. MDPI 2022-12-30 /pmc/articles/PMC9864087/ /pubmed/36677174 http://dx.doi.org/10.3390/mi14010113 Text en © 2022 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
Krejčí, Jakub
Babiuch, Marek
Babjak, Ján
Suder, Jiří
Wierbica, Rostislav
Implementation of an Embedded System into the Internet of Robotic Things
title Implementation of an Embedded System into the Internet of Robotic Things
title_full Implementation of an Embedded System into the Internet of Robotic Things
title_fullStr Implementation of an Embedded System into the Internet of Robotic Things
title_full_unstemmed Implementation of an Embedded System into the Internet of Robotic Things
title_short Implementation of an Embedded System into the Internet of Robotic Things
title_sort implementation of an embedded system into the internet of robotic things
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864087/
https://www.ncbi.nlm.nih.gov/pubmed/36677174
http://dx.doi.org/10.3390/mi14010113
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