Maximilian Busch
Papers
3
Total Citations
45
H-Index
3
About
Maximilian Busch is a researcher specializing in robotic machining, structural dynamics, and uncertainty quantification, with a particular focus on advancing the reliability and performance of industrial robots in milling applications. His work addresses one of the central challenges in modern manufacturing: enabling conventional industrial robots to perform high-precision machining tasks despite their inherent dynamic limitations, including static deflections and regenerative chatter instabilities. Busch's most influential contribution, "Methodology for model-based uncertainty quantification of the vibrational properties of machining robots" (2021, 26 citations), establishes rigorous frameworks for characterizing and managing the vibrational uncertainties that constrain robotic milling accuracy. Complementing this, his research on probabilistic information fusion and multi-fidelity modeling techniques demonstrates innovative approaches to predicting pose-dependent and position-dependent modal properties of milling robots — critical knowledge for optimizing process stability across a robot's workspace. His work is particularly relevant to the post-processing of large additively manufactured components, where traditional machine tools are impractical. By combining probabilistic modeling with experimental and simulation data, Busch helps bridge the gap between theoretical dynamic models and real-world manufacturing performance, making a meaningful contribution to the growing field of intelligent, data-driven robotic machining systems.
Research Focus
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Top Papers
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