<div class="csl-bib-body">
<div class="csl-entry">Schmidbauer, C., & Schlund, S. (2022). Adaptive Task Sharing between Humans and Collaborative Robots in a Manufacturing Environment. In S. T. Köszegi & M. Vincze (Eds.), <i>Trust in Robots</i> (pp. 245–261). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_11</div>
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Collaborative robots (referred to as cobots) can have a significant potential impact on manufacturing processes by
enabling new task allocation possibilities, resulting in improved economic efficiency and human factors/ergonomics.
In this chapter, a method for sharing tasks adaptively between humans and cobots is designed, developed, demonstrated,
and evaluated. State-of-the-art task allocation approaches and their shortcomings regarding flexibility and
human factors/ergonomics are presented. The three parts of the proposed adaptive task sharing method, i.e., task
analysis, assignment, and visualization, are specifically described. Also, case studies are demonstrated, and the
obtained results are evaluated. A discussion, conclusion, and the research outlook on human–robot interaction in
future manufacturing processes conclude this chapter.
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en
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dc.rights.uri
http://creativecommons.org/licenses/by-sa/4.0/
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dc.subject
Collaborative Robots
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dc.subject
flexible production systems
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dc.subject
manufacturing
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dc.subject
task allocation
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dc.subject
task sharing
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dc.title
Adaptive Task Sharing between Humans and Collaborative Robots in a Manufacturing Environment
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dc.type
Book Contribution
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dc.type
Buchbeitrag
de
dc.rights.license
Creative Commons Attribution-ShareAlike 4.0 International
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dc.rights.license
Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International