Fabian Lurz

Friedrich-Alexander-Universität Erlangen-Nürnberg, Otto-von-Guericke University Magdeburg

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About

Fabian Lurz is a researcher advancing the frontiers of radar-based sensing and wireless communication for industrial and robotic applications. His work focuses on developing innovative sensor systems that enable precise distance measurement, gesture recognition, and person detection—often in challenging, dynamic environments. Lurz’s major contributions include the design of an underwater interferometric radar sensor for distance and vibration measurement (5 citations), a critical tool for autonomous underwater vehicles and robotic manipulators. He also engineered a rotary coupler for high-speed data transmission on rotating shafts (3 citations), addressing a key need in smart factory automation. More recently, Lurz has pioneered gesture recognition and deep learning-based person detection using FMCW and MIMO radar on moving robots (2 and 1 citations, respectively), demonstrating how radar can rival camera-based computer vision in mobile applications. His work on the 60 GHz MIMO radar system, combined with convolutional neural networks, showcases his commitment to robust, real-world sensing solutions. With a growing portfolio of impactful publications, Lurz is shaping the future of contactless sensing in automation, robotics, and underwater exploration.