Eric Wagemann, M.Sc. Wagemann

Eric Wagemann, M.Sc.

  • 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.

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


Agentisches Assistenzsystem für die wissensbasierte Konfiguration und Simulation elektrischer Antriebe
Wagemann, E. L.; Barth, M.
2026. EKA 2026 - Entwurf Komplexer Automatisierungssysteme, 19. Fachtagung. Hrsg.: L. Underberg. doi:10.25673/123339
Erratum to: Introduction of a unified robot intergration package
Witucki, L.; Madsen, M.; Wagemann, E. L.; Barth, M.
2026. at - Automatisierungstechnik, 74 (2), 177–178. doi:10.1515/auto-2025-2062
Retrieval-Augmented Generation in the Knowledge-Based Design of Complex Mechatronic Drive Systems
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
Introduction of a unified robot intergration package
Witucki, L.; Madsen, M.; Wagemann, E. L.; Barth, M.
2025. at - Automatisierungstechnik, 73 (5), 288–300. doi:10.1515/auto-2025-0007
Material and particle size sensitivity analysis on coefficient of restitution in low-velocity normal impacts
Meyer, N.; Wagemann, E. L.; Jackstadt, A.; Seifried, R.
2022. Computational Particle Mechanics, 9 (6), 1293–1308. doi:10.1007/s40571-022-00471-z