PhD Researcher
Email
Phone: +49 351 463 39227
Google Scholar
Sebastian Ebert
Sebastian Ebert studied Computer Science (Diploma) in Dresden, where he started in 2020 researching on robotic software technologies as part of his PhD. He is part of the institute of software and multimedia technology Dresden, whose research focus is developing methods that provide assistance in automated software creation and increase the degree of software artifact reuse.
His research interests are focusing on bridging the gap between formal software modeling and state of the art robotic software development based on the Robot Operation System (ROS). Currently, he is working on a model-driven software development chain for robotic systems based on Petri Nets, Attribute Grammars and ROS.
Projects/Cooperation within CeTI you are involved in:
• Integration of haptic gloves into software development processes (together with Ariel Podlubne, Lisa-Marie-Lüneburg and Tina Bobbe)
• Development of a CeTI Cobotics Framwork (CCF) based on ROS (together with Johannes Mey)
• Development of cobotic cell demonstrators to show capabilities of various research groups (together with Johannes Mey, Tianfang Lin, Tobias Zerger)
CeTI rooms within CeTI you are involved:
U2, TP5
Further Questions:
What do you value most about your work at CeTI?
Collaborate with colleagues who share the same vision and realize it across disciplines.
What was your best moment at CeTI so far?
The first summer school I attended. The first summer school I participated in, where I got my first insight into the diversity of research in CeTI.
What else would you like to research?
I would be happy to integrate new technologies into our CeTI Cobotics framework.
How do you spend your spare time?
Hiking, biking and road trips in the summer. Skiing and reading in the winter. Travelling at any time of the year.
Publications:
| 1. | DiNeROS: A model-driven framework for verifiable ROS applications with Petri nets (Proceedings Article) In: Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), 2023. |
| 2. | Incremental causal connection for self-adaptive systems based on relational reference attribute grammars (Proceedings Article) In: Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS), 2022. |
| 3. | Safe adaptation of cobotic cells based on Petri nets (Proceedings Article) In: Proceedings of the International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 2022. |
| 4. | Teaching distributed and heterogeneous robotic cells (Proceedings Article) In: Proceedings of the IEEE Consumer Communications & Networking Conference (CCNC), 2022. |
| 5. | Resolving synchronization conflicts in role-based multimodel-synchronization environments (Proceedings Article) In: Proceedings of the ACM International Workshop on Context-Oriented Programming and Advanced Modularity (COP), 2021. |
| 6. | Human–robot co-habitation in industry (Book Chapter) In: Fitzek, Frank H. P.; Li, Shu-Chen; Speidel, Stefanie; Strufe, Thorsten; Şimşek, Meryem; Reisslein, Martin (Ed.): Tactile Internet with Human-in-the-Loop, Chapter 3, pp. 41–75, Academic Press, 2021. |
| 7. | A model-driven approach for cobotic cells based on Petri nets (Proceedings Article) In: Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), 2020. |
| 8. | Connecting conceptual models using relational reference attribute grammars (Proceedings Article) In: Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), 2020. |