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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.
| Originalsprache | Englisch |
|---|---|
| Titel | 2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025 |
| Herausgeber (Verlag) | IEEE |
| Seiten | 845-850 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 979-8-3315-2246-9 |
| ISBN (Print) | 979-8-3315-2247-6 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 23 Sep. 2025 |
Publikationsreihe
| Name | IEEE International Conference on Automation Science and Engineering |
|---|---|
| ISSN (Print) | 2161-8070 |
| ISSN (elektronisch) | 2161-8089 |
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Trustworthy Human-Robot Collaboration programming using a Gantt chart-based Domain-Specific Modeling Language
Buchner, L. (Redner*in)
19 Sep. 2025Aktivität: Gespräch oder Vortrag › Vortrag
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