Towards human capability estimation to enhance human-robot team performance

  • Skilled labor shortage is a prominent challenge in the world of work. Meanwhile, age-related disabilities or injury lead to at least temporary performance limitations, which make people unfit to work. Consequently, even less workers are available. By employing human-robot teams, the performance of these people may be restored. This requires a good artificial understanding of the human’s capabilities, as generic robot behavior is not feasible with the highly individualized manifestations of disability. We present an approach that allows the robot to autonomously assess human capabilities based on standards from occupational medicine. The method does not only indicate the presence/absence of capabilities, but gives them a discrete rating. This allows the robot to better define its own behavior as a mixture of supportive actions based on gaps in the detailed capabilities.

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Metadaten
Author:Nils MandischerORCiDGND, Lars MikelsonsORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1176674
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117667
ISSN:0178-2312OPAC
ISSN:2196-677XOPAC
Parent Title (German):at - Automatisierungstechnik
Publisher:Walter de Gruyter
Place of publication:Berlin
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/12/17
Volume:72
Issue:12
First Page:1141
Last Page:1159
DOI:https://doi.org/10.1515/auto-2024-0096
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Ingenieurinformatik mit Schwerpunkt Mechatronik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)