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Trustworthy Human-Robot Collaboration programming using a Gantt chart-based Domain-Specific Modeling Language

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

Programming human-robot collaboration (HRC) systems remains challenging for non-expert users. It often requires complex coding skills and provides limited visibility into robot behavior. We present the Robot Collaboration Language (RCL), a Gantt chart-based, domain-specific modeling language designed to facilitate intuitive and safe programming of collaborative tasks by non-experts. Using familiar Gantt chart representations, RCL aims to improve HRC programming transparency, predictability, and safety. We describe the language’s meta-model and implementation and demonstrate its use with an example. Our approach contributes to developing trustworthy HRC systems by simplifying the complexity of programming.
OriginalspracheEnglisch
Titel2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025
Herausgeber (Verlag)IEEE
Seiten845-850
Seitenumfang6
ISBN (elektronisch)979-8-3315-2246-9
ISBN (Print)979-8-3315-2247-6
DOIs
PublikationsstatusVeröffentlicht - 23 Sep. 2025

Publikationsreihe

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (elektronisch)2161-8089

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