Adaptive and Scalable Multi-Mobile-Robot Simulation
This Extended Abstract was presented in a poster session at the 1st German Robotics Conference, Robotics Institute Germany held at Nuremberg between 13 and 15 March 2025.Abstract - A simulation framework is introduced based on ROS and NVIDIA's Isaac Sim to create a scalable, adaptable Industry 4.0 virtual laboratory for the integration and testing of 3D Digital Twin production assets and interactions with multi-robot systems in complex environments. With features like scene generation, virtual sensor definition and interoperable data collection, the pipeline enables research in algorithm design, AI, and human-robot collaboration.
Authors
- Martin Ruskowski (ORCID: https://orcid.org/0000-0002-6534-9057)
- Benjamin Blumhofer (ORCID: https://orcid.org/0000-0002-0983-1690)
- Achim Wagner
- Satyam Uttamkumar Dudhagara
Institutions
- University of Kaiserslautern (DE)
- German Research Centre for Artificial Intelligence (DE)
- SmartFactory (Germany) (DE)
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-15
- DOI
- https://doi.org/10.5281/zenodo.18469379
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00