at Google ScholarTitle data
Riedelbauch, Dominik ; Luthardt-Bergmann, Daniel ; Henrich, Dominik:
A Cognitive Human Model for Virtual Commissioning of Dynamic Human-Robot Teams.
In:
Fifth IEEE International Conference on Robotic Computing. -
Taichung, Taiwan
,
2021
. - pp. 27-34
DOI: https://doi.org/10.1109/IRC52146.2021.00011
Abstract in another language
Virtual commissioning can be used for planning human-robot workflows. To this end, digital human models enable consideration of human ergonomics and motion times as optimization criteria. This leads to optimal but fixed human-robot schedules with clearly quantified benefits over the manual process. By contrast, recent research on robot co-workers has been putting emphasis on dynamic task sharing. Respective methods enable robots to make decisions recurrently and adapt to unforeseen situations. Measuring the gain in productivity when deploying such systems to the shop floor while leveraging the advantages of virtual commissioning requires replicating the indeterminism of human behaviour in simulation. We, hence, contribute a cognitive human model that captures aspects of dynamic human decision making relevant to everyday work. Our model covers phases of working, pausing, fatigue, and error using Markov Decision Processes with dynamic transition probabilities. Experiments demonstrate the scalability of generated behaviour with regard to different human characteristics.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 14 Feb 2025 10:44 |
| Last Modified: | 15 Apr 2025 11:29 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/92365 |