S. Vogelgesang

Papers

Total Citations

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About

Dr. S. Vogelgesang is a robotics and manufacturing researcher whose work centers on intelligent automation for skilled trades, particularly grinding and mould manufacturing. Their most-cited contribution, "Model Predictive Force Control in Grinding based on a Lightweight Robot" (2019, 11 citations), tackles a critical industry bottleneck: the reliance on manual labor in mould and die production. By integrating model predictive control with lightweight robotic systems, Vogelgesang addresses both the shortage of skilled workers and the unattractive working conditions that drive manufacturing outsourcing to low-wage countries. This work demonstrates how advanced control strategies can automate complex, force-sensitive tasks traditionally requiring human craftsmanship. While their citation count reflects a focused, emerging impact, the practical significance of their research is substantial—offering a pathway to reshore manufacturing through robotics. Vogelgesang’s contributions sit at the intersection of control theory, human-robot collaboration, and industrial automation, making their work valuable for researchers exploring how lightweight robots can transform labor-intensive sectors. Their focus on real-world application, rather than purely theoretical advances, positions them as a pragmatic innovator in manufacturing technology.