Markus Kohler, M.Sc.

Research

Main research

• Advancement of needle winding technology towards an automated product generation process (Industry 4.0)
• Machine learning and computer vision for optimization and quality assurance in the production of electric traction drives
• Robotics and automation technology, automated path and trajectory planning, control engineering

Current projects 

• Needle Winding Technology

Vita

• Since 2019: Research Associate in the field of production optimization for electrical machines using needle winding technology at the Institute for Innovative Mobility (IIMo) at the Technische Hochschule Ingolstadt
• 2016-2018: Master of Science Electrical Engineering and Information Technology at Technical University of Munich (TUM)
• 2013-2016: Bachelor of Science Electrical Engineering and Information Technology at Technical University of Munich (TUM)

Publications

• M. Kohler, D. Fendt and C. Endisch, Modeling Geometric Wire Bending Behavior in Needle Winding Processes Using Circular Arcs with Tangential Linear Functions, 2022 IEEE Transportation Electrification Conference & Expo (ITEC) (2022), 894-901, doi: 10.1109/ITEC53557.2022.9814041.
• M. Kohler, M. Gerngroß and C. Endisch, A Test Bench Concept and Method for Image-Based Modeling of Geometric Wire Bending Behavior in Needle Winding Processes, 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) (2022), 1113-1120, doi: 10.1109/ISIE51582.2022.9831494.
• M. Gerngroß, M. Kohler, C. Endisch, R. Kennel, Model-Based Control of Nonlinear Wire Tension in Dynamic Needle Winding Processes, 2020 IEEE International Conference on Industrial Technology (ICIT), Buenos Aires, Argentina (2020) 381–388, https://doi.org/10.1109/ICIT45562.2020.9067168.