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3 results on '"human–machine differentiation"'

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

Author

Urban B. Himmelsbach, Thomas M. Wendt, Nikolai Hangst, Philipp Gawron, and Lukas Stiglmeier

Subjects
human–robot collaboration, speed and separation monitoring, human–machine differentiation, thermal cameras, protective separation distance, Chemical technology, TP1-1185
Abstract

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.

Published
2021
Full Text
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2. Human–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration

Author

Philipp Gawron, Thomas M. Wendt, Lukas Stiglmeier, Urban B. Himmelsbach, and Nikolai Hangst

Subjects
Computer science, Chemical technology, Separation (aeronautics), thermal cameras, speed and separation monitoring, Control engineering, Robotics, human–robot collaboration, TP1-1185, Object (computer science), Biochemistry, Atomic and Molecular Physics, and Optics, Human–robot interaction, Article, protective separation distance, Analytical Chemistry, Variable (computer science), Proof of concept, Humans, Robot, Human–machine system, Electrical and Electronic Engineering, Instrumentation, human–machine differentiation, Overall efficiency
Abstract

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.

Published
2021

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

Author

Himmelsbach, Urban B., Wendt, Thomas M., Hangst, Nikolai, Gawron, Philipp, and Stiglmeier, Lukas

Subjects
*SPEED, *ROBOT motion, *SOCIAL interaction, *PROOF of concept
Abstract

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. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

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