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Michael M. Zavlanos' research focuses on control theory, optimization, learning, artificial intelligence, specifically in autonomous systems and robotics, networked distributed control systems, and cyber-physical systems. His work aims to advance the field by developing novel approaches that integrate these domains, addressing challenges inherent to autonomous and robotic systems in both theoretical and practical contexts.
Duke University • Durham, NC
Teaching and research in the fields of mechanical engineering, control theory, and robotics.
Department of Biomedical Engineering (MS program)