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Michael M. Zavlanos' research focuses on control theory, optimization, and learning with a particular emphasis on robotics, autonomous systems, networked distributed control systems, and cyber-physical systems. He has contributed to various fields including mobile robot networks, multi-agent systems, and the application of AI in optimizing robotic control architectures. His work incorporates both theoretical and practical aspects, aiming to enhance the capabilities of autonomous systems in diverse environments. Through his teaching and mentorship at Duke University, he strives to impart knowledge and foster innovation in the next generation of engineers and researchers. His prolific publication record demonstrates his engagement with the academic community and underscores his status as a prominent figure in the field of mechanical engineering and systems control.
Duke Pratt School of Engineering • Durham, NC
Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University.
Department of Biomedical Engineering (MS program)