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Total Citations
3
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About
Markus Till is a researcher at the forefront of Model-Based Systems Engineering (MBSE), with a specialized focus on the digital transformation of robotic manufacturing cells. His work addresses a critical bottleneck in Industry 4.0: the seamless integration of geometric and kinetic data to create high-fidelity digital twins. Till’s primary contribution is the development of an innovative engineering framework that leverages graph-based design languages and a dedicated compiler to automate the generation of these combined digital twins. This approach eliminates the manual, error-prone process of linking separate design models, enabling a more holistic and dynamic representation of a robotic cell’s form and motion. His most-cited work, "Combined Geometric and Kinetic Data Model in Model-Based Systems Engineering of Robotic Cells" (2024), has already garnered 3 citations, signaling its immediate relevance to researchers and practitioners in automation and systems engineering. By providing a formal, automated pathway from design to simulation, Till’s research is paving the way for faster, more reliable development cycles in advanced manufacturing, making him a key voice in the evolution of smart production systems.
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