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Development of a Simulation-based Risk Assessment Tool for HRC Applications

Huck, Tom P. ORCID iD icon 1; Ledermann, Christoph 2; Klose, Silke; Dai, Fan; Matthias, Björn; Byner, Christoph
1 Karlsruher Institut für Technologie (KIT)
2 Institut für Anthropomatik und Robotik (IAR), Karlsruher Institut für Technologie (KIT)

Abstract:

The use of human-robot collaboration (HRC) systems requires a risk assessment prior to commissioning. Simulations of collaborative workflows can support the risk assessment process and allow users to identify potential hazards at early stages of development. However, simulation-based risk assessment still has a number of open challenges, including modeling human workers, choosing appropriate risk metrics and creating relevant test scenarios. This paper presents an
approach that addresses these challenges by using motion capture data, collision force estimation, and search algorithms.
Preliminary results are presented and future research challenges are discussed. In the long term, the presented approach will be further developed into a tool for the simulator ABB RobotStudio.


Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 20.06.2022
Sprache Englisch
Identifikator KITopen-ID: 1000148182
Erschienen in Proceedings of the 54th International Symposium on Robotics (ISR Europe)
Veranstaltung 54th International Symposium on Robotics (ISR Europe 2022), München, Deutschland, 20.06.2022 – 21.06.2022
Verlag Verein Deutscher Ingenieure - Gesellschaft Verfahrenstechnik und Chemieingenierurwesen (VDI-GVC)
Schlagwörter Human-Robot Collboration, Safety, Risk Assessment, Hazard Analysis, Industrial Robotics, Robotics
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