Eric Wagemann, M.Sc.
- Research Assistant
- Room: 215
CS 30.33 - Phone: +49 721 608-42639
- eric wagemann ∂does-not-exist.kit edu
- www.irs.kit.edu/people_aut_eric_wagemann.php
- Fritz-Haber-Weg 1
76131 Karlsruhe
Research
The configuration of electric drive systems within mechatronic systems presents a challenging engineering task due to the wide variety of options, complex physical relationships, and heavy reliance on domain-specific and experiential knowledge. In industrial practice, this knowledge is often only implicitly available, difficult to access, and only limitedly scalable.
In my research, I address these challenges by developing a knowledge-based agent-driven assistance system that integrates natural language, formalized knowledge models (e.g., ontologies), and multi-physics-based simulations. The goal is to make engineering processes more transparent, traceable, consistent, and efficient, as well as to systematically structure and make expert knowledge available.
A particular focus is on the integration of modern AI methods, domain-specific knowledge, and model-based validation to enable well-founded and verifiable decisions in early phases throughout the entire system design process.
| Title | Type | Semester | Place |
|---|---|---|---|
| Robotics, Automation, and Systems Control Lab | Praktikum (P) | WS 25/26 |
| Title | Type |
|---|---|
| From Fuzzy Queries to Formal Knowledge: RAG with OWL Ontologies | Bachelor- / Master Thesis |
| Automated Evaluation of Simulation Results | Bachelor/-Master Thesis |
| Title | Type |
|---|---|
| Automated creation of physics simulations of a robot arm for drive design | Bachelor-/Mastersthesis |
Curriculum vitae
01.08.2024 - today
Research assistant at the Chair of Networkedsafe automation technology (VSA) at the at the Institute for Regulation and Control Systems (IRS)
with Prof. Dr.-Ing. Mike Barth at the Karlsruhe Institute of Technology
10.2022 - 07.2024
HiWi at the Fraunhofer IFAM (Stade)
Drive controller design of industrial robots with hybrid drive concept (combination of geared servo motor and direct motor)
2020 - 2024
Master's degree (M.Sc.) in Theoretical Mechanical Engineering at the TUHH
- Specialization "Robotics and Computer Science"
- Master's thesis on "System identification, simulation and interference-suppressing controller design of an industrial robot with hybrid drive"
2020 - 2022
HiWi and tutor at the Institute of Mechanics and Marine Technology (MuM, TUHH)
- HiWi: Simulative and experimental impact analysis
- Tutor: Mechanics courses
10.2021 - 03.2022
Internship at Trumpf Werkzeugmaschinen (Ditzingen)
Collaboration in the area of "Model Based Design"
04.2020 - 09.2020
Internship at BMW (Munich)
On-board diagnostics of gasoline engines
05.2019 - 07.2019
Research internship at the University of New Brunswick (Fredericton, NB, Canada),
- "RISE worldwide" internship (DAAD funded)
- Prototype design of a parallel rope robot
2016 - 2020
Bachelor's degree (B.Sc.) in Mechanical Engineering at the Hamburg University of Technology (TUHH)
Bachelor thesis on the topic "Sensitivity analysis of impacts of hybrid contact partners"
Publications
Wagemann, E. L.; Barth, M.
2026. EKA 2026 - Entwurf Komplexer Automatisierungssysteme, 19. Fachtagung. Hrsg.: L. Underberg. doi:10.25673/123339
Witucki, L.; Madsen, M.; Wagemann, E. L.; Barth, M.
2026. at - Automatisierungstechnik, 74 (2), 177–178. doi:10.1515/auto-2025-2062
Wagemann, E. L.; Geib, B.; Olsson, R.; Keßler, C.; Barth, M.
2026. AUTOMATION 2026, 27. VDI-Kongress AUTOMATION – Leitkongress der Mess- und Automatisierungstechnik (2026). Baden-Baden, Deutschland, 17.06.2026–18.06.2026, VDI Verlag
Witucki, L.; Madsen, M.; Wagemann, E. L.; Barth, M.
2025. at - Automatisierungstechnik, 73 (5), 288–300. doi:10.1515/auto-2025-0007
Meyer, N.; Wagemann, E. L.; Jackstadt, A.; Seifried, R.
2022. Computational Particle Mechanics, 9 (6), 1293–1308. doi:10.1007/s40571-022-00471-z
