Title data
Riedelbauch, Dominik ; Hümmer, Jonathan:
A Benchmark Toolkit for Collaborative Human-Robot Interaction.
In:
31st IEEE International Conference on Robot and Human Interactive Communication. -
Napoli
,
2022
. - pp. 806-813
DOI: https://doi.org/10.1109/RO-MAN53752.2022.9900790
Related URLs
Project information
Project title: |
Project's official title Project's id FlexCobot No information |
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Abstract in another language
Novel human-robot collaboration (HRC) methods need careful validation. This is often achieved with user studies in laboratory environments, which mostly rely on highly individual, complex prototype setups in early design stages. Lately, the lack of replicability imposed by such experiments has vitally been discussed. In this paper, we contribute a benchmark toolkit to compose scalable, synthetic tasks as a unified basis for future efforts towards more replicable research. To this end, we pro-pose modular task boards which cover different domains and HRC scenarios. The design of benchmark tasks with these task boards is supported by a software application which generates structural task models and materials for benchmark problem reproduction by 3D printing. Our experiments show that these tasks can be carried out robustly by robots, hence preventing unintended robot failure and providing a controllable, reliably reproducible setting for user studies.
Further data
Item Type: | Article in a book |
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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 08:27 |
Last Modified: | 15 Apr 2025 11:28 |
URI: | https://eref.uni-bayreuth.de/id/eprint/91729 |