TY - GEN
T1 - Trustworthy Human-Robot Collaboration programming using a Gantt chart-based Domain-Specific Modeling Language
AU - Buchner, Lukas
AU - Zallinger, Philipp
AU - Nachbagauer, Karin
AU - Zoitl, Alois
AU - Froschauer, Roman
PY - 2025/8/21
Y1 - 2025/8/21
N2 - 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.
AB - 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.
UR - https://ieeexplore.ieee.org/document/11164122/
UR - https://www.scopus.com/pages/publications/105018332705
U2 - 10.1109/CASE58245.2025.11164122
DO - 10.1109/CASE58245.2025.11164122
M3 - Conference proceedings
SN - 979-8-3315-2247-6
T3 - IEEE International Conference on Automation Science and Engineering
SP - 845
EP - 850
BT - 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)
PB - IEEE Xplore
T2 - 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)
Y2 - 17 August 2025 through 21 August 2025
ER -