Human–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration

Human–robot collaborative applications have been receiving increasing attention in industrial applications. The efficiency of the applications is often quite low compared to traditional robotic applications without human interaction. Especially for applications that use speed and separation monitori...

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Autores principales:	Urban B. Himmelsbach, Thomas M. Wendt, Nikolai Hangst, Philipp Gawron, Lukas Stiglmeier
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	human–robot collaboration speed and separation monitoring human–machine differentiation thermal cameras protective separation distance Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/c43ab670b9fb4eafb536c1981a4c5f38
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id	oai:doaj.org-article:c43ab670b9fb4eafb536c1981a4c5f38
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spelling	oai:doaj.org-article:c43ab670b9fb4eafb536c1981a4c5f382021-11-11T19:08:26ZHuman–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration10.3390/s212171441424-8220https://doaj.org/article/c43ab670b9fb4eafb536c1981a4c5f382021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7144https://doaj.org/toc/1424-8220Human–robot collaborative applications have been receiving increasing attention in industrial applications. The efficiency of the applications is often quite low compared to traditional robotic applications without human interaction. Especially for applications that use speed and separation monitoring, there is potential to increase the efficiency with a cost-effective and easy to implement method. In this paper, we proposed to add human–machine differentiation to the speed and separation monitoring in human–robot collaborative applications. The formula for the protective separation distance was extended with a variable for the kind of object that approaches the robot. Different sensors for differentiation of human and non-human objects are presented. Thermal cameras are used to take measurements in a proof of concept. Through differentiation of human and non-human objects, it is possible to decrease the protective separation distance between the robot and the object and therefore increase the overall efficiency of the collaborative application.Urban B. HimmelsbachThomas M. WendtNikolai HangstPhilipp GawronLukas StiglmeierMDPI AGarticlehuman–robot collaborationspeed and separation monitoringhuman–machine differentiationthermal camerasprotective separation distanceChemical technologyTP1-1185ENSensors, Vol 21, Iss 7144, p 7144 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	human–robot collaboration speed and separation monitoring human–machine differentiation thermal cameras protective separation distance Chemical technology TP1-1185
spellingShingle	human–robot collaboration speed and separation monitoring human–machine differentiation thermal cameras protective separation distance Chemical technology TP1-1185 Urban B. Himmelsbach Thomas M. Wendt Nikolai Hangst Philipp Gawron Lukas Stiglmeier Human–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration
description	Human–robot collaborative applications have been receiving increasing attention in industrial applications. The efficiency of the applications is often quite low compared to traditional robotic applications without human interaction. Especially for applications that use speed and separation monitoring, there is potential to increase the efficiency with a cost-effective and easy to implement method. In this paper, we proposed to add human–machine differentiation to the speed and separation monitoring in human–robot collaborative applications. The formula for the protective separation distance was extended with a variable for the kind of object that approaches the robot. Different sensors for differentiation of human and non-human objects are presented. Thermal cameras are used to take measurements in a proof of concept. Through differentiation of human and non-human objects, it is possible to decrease the protective separation distance between the robot and the object and therefore increase the overall efficiency of the collaborative application.
format	article
author	Urban B. Himmelsbach Thomas M. Wendt Nikolai Hangst Philipp Gawron Lukas Stiglmeier
author_facet	Urban B. Himmelsbach Thomas M. Wendt Nikolai Hangst Philipp Gawron Lukas Stiglmeier
author_sort	Urban B. Himmelsbach
title	Human–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration
title_short	Human–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration
title_full	Human–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration
title_fullStr	Human–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration
title_full_unstemmed	Human–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration
title_sort	human–machine differentiation in speed and separation monitoring for improved efficiency in human–robot collaboration
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c43ab670b9fb4eafb536c1981a4c5f38
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Human–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration

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