Christian Eymüller
| Phone: | +49 821 598 69371 |
| Email: | |
| Room: | 2056 (W) |
| Address: | Am Technologiezentrum 8, 86159 Augsburg |
Curriculum Vitae
| Since 2017: | Researcher at the Chair of Software Engineering at the University of Augsburg |
| 2015 - 2017: | Master in Computer Science at the University of Augsburg |
| 2012 - 2015: | Bachelor in Computer Science at the University of Augsburg |
Research Interests
In general:
- How can modern software engineering methods be applied to robotics? How can real-time requirements and modern programming methods be combined?
- How can tasks and environment of (mobile) robots be modeled so that the knowledge can automatically be used at run time?
- How can robot teams be programmed for complex, cooperative tasks?
- How do these concepts fit into reference architectures and frameworks for Industry 4.0?
I am involved in the following research areas and projects:
Courses
Current Term
| name | semester | type |
|---|---|---|
| Grundlagen der Medizinrobotik | winter semester 2021/22 | Vorlesung |
| Übung zu Grundlagen der Robotik | winter semester 2021/22 | Übung |
| Übung zu Grundlagen der Medizinrobotik | winter semester 2021/22 | Übung |
| Grundlagen der Robotik | winter semester 2021/22 | Vorlesung |
Former Courses
- Grundlagen der Robotik
- Software für Inustrie 4.0
- Seminar: Robotik
Publications
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2020 |
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Christian Eymüller, Julian Hanke, Alwin Hoffmann, Markus Kugelmann and Wolfgang Reif. 2020. Real-time capable OPC-UA programs over TSN for distributed industrial control. DOI: 10.1109/ETFA46521.2020.9212171 |
|
2018 |
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Christian Eymüller, Constantin Wanninger, Alwin Hoffmann and Wolfgang Reif. 2018. Semantic plug and play - self-descriptive modular hardware for robotic applications. DOI: 10.1142/s1793351x18500058 |
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Constantin Wanninger, Christian Eymüller, Alwin Hoffmann, Oliver Kosak and Wolfgang Reif. 2018. Synthesizing capabilities for collective adaptive systems from self-descriptive hardware devices bridging the reality gap. DOI: 10.1007/978-3-030-03424-5_7 |
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2016 |
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Anthony Stein, Christian Eymüller, Dominik Rauh, Sven Tomforde and Jörg Hähner. 2016. Interpolation-based classifier generation in XCSF. DOI: 10.1109/cec.2016.7744296 |
Institute for Software & Systems Engineering
The Institute for Software & Systems Engineering (ISSE), directed by Prof. Dr. Wolfgang Reif, is a scientific institution within the Faculty of Applied Computer Science of the University of Augsburg. In research, the institute supports both fundamental and application-oriented research in all areas of software and systems engineering. In teaching, the institute facilitates the further development of the faculty's and university's relevant course offerings.