Marcel Todtermuschke
Fraunhofer Institute for Machine Tools and Forming Technology
Papers
10
Total Citations
56
H-Index
5
About
Marcel Todtermuschke is a leading researcher in intelligent manufacturing systems, with a focus on the intersection of robotics, flexible automation, and energy efficiency in the automotive industry. His work primarily addresses the challenges of car body production, where he has pioneered methods for designing product-flexible fixtures using particle swarm optimization and geometry-based search algorithms, enabling the production of multiple car models on a single fixture. Todtermuschke’s contributions extend to human-robot interaction (HRI), where he has developed service modeling frameworks to facilitate the demand-driven implementation of collaborative robotics in small and mid-sized enterprises, addressing a critical gap in industrial adoption. His research on the energetic comparability of industrial robots, supported by cluster analysis of body-in-white systems, provides a systematic method for resource-efficient plant design, with potential for significant energy savings. With over 50 citations across his most-cited works, Todtermuschke’s impact is evident in his ability to bridge theoretical optimization with practical industrial applications. Notable achievements include his recent work on cognition-based frameworks for Industry 5.0, which explores interdisciplinary expert team processes for cognitive robotics, and his contributions to AI-based robot control and lightweight engineering fixtures, underscoring his commitment to sustainable, flexible, and intelligent manufacturing solutions.
Research Focus
Key Achievements
Top Papers
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- 6Data preparation for AI-based robot control4 citations · 2023
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