Gitta Kutyniok

Munich Center for Machine Learning, Ludwig-Maximilians-Universität München

Papers

Total Citations

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About

Gitta Kutyniok is a leading figure in the intersection of applied mathematics, artificial intelligence, and robotics, with a particular focus on developing reliable and efficient autonomous systems. Her recent work addresses critical challenges in the Fourth Industrial Revolution, notably through her highly cited 2024 paper on "Learning-based adaption of robotic friction models" (14 citations), which tackles the intricate problem of modeling human-robot collaborative manufacturing processes. Kutyniok has also made significant contributions to the theoretical foundations of AI reliability, exploring in her 2023 survey whether quantum computing is necessary for the next generation of trustworthy artificial intelligence (3 citations). Additionally, her research on "Learning optimal controllers: a dynamical motion primitive approach" (2 citations) advances real-time optimal control by developing learning-based frameworks that enable online controller deployment. Through these contributions, Kutyniok has established herself as a key researcher bridging the gap between mathematical theory and practical AI applications, with her work directly impacting the development of more adaptive, reliable, and efficient autonomous systems for industrial and collaborative settings.