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

Lukas Buchner; Philipp Michael Zallinger; Karin Nachbagauer; Alois Zoitl; Roman Franz Froschauer

doi:10.1109/CASE58245.2025.11164122

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

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025
Publisher	IEEE
Pages	845-850
Number of pages	6
ISBN (Electronic)	979-8-3315-2246-9
ISBN (Print)	979-8-3315-2247-6
DOIs	https://doi.org/10.1109/CASE58245.2025.11164122
Publication status	Published - 23 Sept 2025

Publication series

Name	IEEE International Conference on Automation Science and Engineering
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Keywords

Computer aided software engineering
Automation
Human-robot interaction
Collaboration
Programming
Encoding
Safety
Robots

Access to Document

10.1109/CASE58245.2025.11164122

Cite this

Buchner, L., Zallinger, P. M., Nachbagauer, K., Zoitl, A., & Froschauer, R. F. (2025). Trustworthy Human-Robot Collaboration programming using a Gantt chart-based Domain-Specific Modeling Language. In 2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025 (pp. 845-850). (IEEE International Conference on Automation Science and Engineering). IEEE. https://doi.org/10.1109/CASE58245.2025.11164122

Buchner, Lukas ; Zallinger, Philipp Michael ; Nachbagauer, Karin et al. / Trustworthy Human-Robot Collaboration programming using a Gantt chart-based Domain-Specific Modeling Language. 2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025. IEEE, 2025. pp. 845-850 (IEEE International Conference on Automation Science and Engineering).

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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{\textquoteright}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.",

keywords = "Computer aided software engineering, Automation, Human-robot interaction, Collaboration, Programming, Encoding, Safety, Robots",

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Buchner, L , Zallinger, PM , Nachbagauer, K, Zoitl, A & Froschauer, RF 2025, Trustworthy Human-Robot Collaboration programming using a Gantt chart-based Domain-Specific Modeling Language. in 2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025. IEEE International Conference on Automation Science and Engineering, IEEE, pp. 845-850. https://doi.org/10.1109/CASE58245.2025.11164122

Trustworthy Human-Robot Collaboration programming using a Gantt chart-based Domain-Specific Modeling Language. / Buchner, Lukas ; Zallinger, Philipp Michael ; Nachbagauer, Karin et al.
2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025. IEEE, 2025. p. 845-850 (IEEE International Conference on Automation Science and Engineering).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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AU - Froschauer, Roman Franz

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KW - Automation

KW - Human-robot interaction

KW - Collaboration

KW - Programming

KW - Encoding

KW - Safety

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Buchner L , Zallinger PM , Nachbagauer K, Zoitl A, Froschauer RF. Trustworthy Human-Robot Collaboration programming using a Gantt chart-based Domain-Specific Modeling Language. In 2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025. IEEE. 2025. p. 845-850. (IEEE International Conference on Automation Science and Engineering). doi: 10.1109/CASE58245.2025.11164122

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

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