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

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.

Authors

Institutions

Publication Details

Published
2025-08-17
DOI
https://doi.org/10.1109/case58245.2025.11164122
Citations
1
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Alois Zoitl, Philipp Zallinger, Roman Froschauer, Karin Nachbagauer et al.
1 citations
Robotics and Automated Systems
1.21
article

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

Alois Zoitl, Philipp Zallinger, Roman Froschauer, Karin Nachbagauer, Lukas Buchner
article en
1 citations

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.

Johannes Kepler University of Linz (AT), University of Applied Sciences Upper Austria (AT)
Openalex Percentile: Top 17%
Robotics and Automated Systems
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Trustworthy Human-Robot Collaboration programming using a Gantt chart-based Domain-Specific Modeling Language — Alois Zoitl, Philipp Zallinger, et al. · (2025) | TGRS Research Map | TGRS