TY  - JOUR
A1  - Mandischer, Nils
A1  - Gürtler, Marius
A1  - Weidemann, Carlo
A1  - Hüsing, Elodie
A1  - Bezrucav, Stefan-Octavian
A1  - Gossen, Daniel
A1  - Brünjes, Vincent
A1  - Hüsing, Mathias
A1  - Corves, Burkhard
T1  - Toward adaptive human–robot collaboration for the inclusion of people with disabilities in manual labor tasks
T2  - Electronics
N2  - While human–robot collaboration is already integrated in industrial and service robotics applications, it is only used with able-bodied workers. However, collaboration through assistive robots is a major driver toward the inclusion of people with disabilities, which was demonstrated in recent research projects. Currently, inclusive robot workplaces have to be customized toward the work process and the individual needs of the person. Within, robots act along a fixed schedule and are not able to adapt to changes within the process or the needs of the interacting person. Hence, such workplaces are expensive and unappealing for companies of the first labor market, and do not realize the full potential of the technology. In this work, we propose a generalized approach toward the inclusion of people with disabilities with collaborative robots. To this end, we propose a system that analyzes the in situ capabilities of a person using a two-stage reasoning approach. The methodology is based on an ontology that allows the matchmaking of individual capabilities with process requirements. Capabilities are modeled in two time frames, through which fast (e.g., fatigue) and slow effects (e.g., worsening of illness) become distinguishable. The matchmaking is used in task allocation to establish high-level control over the assistive system. By this approach, inclusive workplaces become autonomously adaptive to the in situ capabilities of the individual person, without the need for customization. Therefore, collaborative workplaces become not only inclusive, but a contributor toward a labor market for all.
Y1  - 2023
UR  - https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/117871
UR  - https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-1178716
SN  - 2079-9292
VL  - 12
IS  - 5
SP  - 1118
PB  - MDPI AG
ER  -