Dr. Christian Eymüller

Senior Researcher
Institute for Software & Systems Engineering
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:

Publications

2024 | 2023 | 2022 | 2021 | 2020 | 2018 | 2016

2024

Christian Eymüller. 2024. RealCaPP – Real-time capable plug & produce for distributed robot-based automation.
PDF | BibTeX | RIS

2023

Julian Hanke, Matthias Stueben, Christian Eymüller, Maximilian Müller, Alexander Poeppel and Wolfgang Reif. 2023. CASP: Computer Aided Specimen Placement for robot-based component testing. DOI: 10.5220/0012155000003543
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Christian Eymüller, Julian Hanke, Alexander Poeppel and Wolfgang Reif. 2023. Towards self-configuring plug & produce robot systems based on ontologies. DOI: 10.1109/ICARA56516.2023.10126075
PDF | BibTeX | RIS | DOI

Martin Schörner, Constantin Wanninger, Raphael Katschinsky, Simon Hornung, Christian Eymüller, Alexander Poeppel and Wolfgang Reif. 2023. UAV inspection of large components: determination of alternative inspection points and online route optimization. DOI: 10.1109/RoSE59155.2023.00012
PDF | BibTeX | RIS | DOI

2022

Julian Hanke, Christian Eymüller, Alexander Poeppel, Julia Reichmann, Anna Trauth, Markus Sause and Wolfgang Reif. 2022. Sensor-guided motions for robot-based component testing. DOI: 10.1109/irc55401.2022.00021
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Julian Hanke, Christian Eymüller, Julia Reichmann, Anna Trauth, Markus Sause and Wolfgang Reif. 2022. Software-defined testing facility for component testing with industrial robots. DOI: 10.1109/etfa52439.2022.9921625
PDF | BibTeX | RIS | DOI

2021

Constantin Wanninger, Sebastian Rossi, Martin Schörner, Alwin Hoffmann, Alexander Poeppel, Christian Eymüller and Wolfgang Reif. 2021. ROSSi a graphical programming interface for ROS 2. DOI: 10.23919/ICCAS52745.2021.9649736
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Christian Eymüller, Julian Hanke, Alwin Hoffmann, Wolfgang Reif, Markus Kugelmann and Florian Gratz. 2021. RealCaPP: Real-time capable Plug & Produce communication platform with OPC UA over TSN for distributed industrial robot control. DOI: 10.1109/case49439.2021.9551484
PDF | BibTeX | RIS | DOI

Christian Eymüller, Julian Hanke, Alwin Hoffmann, Alexander Poeppel, Constantin Wanninger and Wolfgang Reif. 2021. Towards a real-time capable plug & produce environment for adaptable factories. DOI: 10.1109/etfa45728.2021.9613729
PDF | BibTeX | RIS | DOI

2020

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
PDF | BibTeX | RIS | DOI

2018

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
BibTeX | RIS | DOI

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
PDF | BibTeX | RIS | DOI

2016

Anthony Stein, Christian Eymüller, Dominik Rauh, Sven Tomforde and Jörg Hähner. 2016. Interpolation-based classifier generation in XCSF. DOI: 10.1109/cec.2016.7744296
PDF | BibTeX | RIS | DOI

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.

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