Record link: 
http://hdl.handle.net/20.500.12708/138184
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Title: 
Evaluation of a Digital Worker Assistance System to enable Adaptive Task Sharing between Humans and Cobots in Manufacturing
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Citation: 
Nausch, M., Hold, P., & Sihn, W. (2021). Evaluation of a Digital Worker Assistance System to enable Adaptive Task Sharing between Humans and Cobots in Manufacturing. In D. MOURTZIS (Ed.), 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0 (pp. 38–43). Elsevier. https://doi.org/10.1016/j.procir.2021.11.207
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Publisher DOI: 
10.1016/j.procir.2021.11.207
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Authors: 
Nausch, Mathias 
Hold, Philipp 
Sihn, Wilfried 
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Organisational Unit: 
E330-03 - Forschungsbereich Mensch-Maschine-Interaktion 
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Published in: 
54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0 
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Volume: 
104
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Date (published): 
2021
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Event name: 
54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0 
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Event date: 
22-Sep-2021 - 24-Sep-2021
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Event place: 
Athen, Greece
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Number of Pages: 
6
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Publisher: 
Elsevier
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Keywords: 
General Materials Science; adaptive manufacturing; human-robot collaboration; task allocation; worker assistance system; task sharing
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Abstract: 
The future of collaborative robots (cobots) is shaped by the desire for a flexible and beneficial cooperation between humans and cobots. We reviewed the state of the art regarding human-cobot interaction in manufacturing. In this paper we present a digital worker assistance system, based on the Business Process Model and Notation Language (BPMN), which enables non-professionals to create adaptive task sharing (ATS) processes between human workers and cobots in manufacturing. Evaluation results of an online study of the assistance system regarding human factors and productivity impacts are presented.
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Research Areas: 
außerhalb der gesamtuniversitären Forschungsschwerpunkte: 100%
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Science Branch: 
Wirtschaftswissenschaften
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Appears in Collections:
Conference Paper

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