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Yulun Tian is an Assistant Professor in the field of Robotics at the University of Michigan. His research focuses on robotic perception, state estimation, mapping of single and multi-agent systems, numerical distributed optimization, and robot learning. Prof. Tian's work contributes significantly to advancements in the understanding and development of robotic systems, particularly in enhancing their perception capabilities and operational efficacy in complex environments. He is actively involved in guiding PhD students and collaborating on research projects that push the boundaries of current robotic technologies.
Department of Electrical Engineering and Computer Science