Yulin Li
Postdoctoral Fellow, NUS
I am currently a Postdoctoral Fellow at the National University of Singapore NUS, working with Prof. Fan Shi.
I received my Ph.D. degree in Robotics and Autonomous Systems from the Hong Kong University of Science and Technology (HKUST), where I was jointly supervised by Prof. Jun Ma and Prof. Michael Yu Wang. Prior to my doctoral studies, I earned the M.Sc. degree in Mechanical and Aerospace Engineering from the University of California, San Diego (UCSD), and the B.Eng. degree in Mechatronic Engineering from Tongji University.
My research interests focus on motion policy design for robotic manipulation and navigation in complex environments. I am particularly interested in developing intelligent and generalizable motion policies that leverage optimization-based planning principles together with learning-based methods. My goal is to enable robots to interact with their surroundings in a safe, adaptive, and efficient manner, while maintaining strong connections to physically grounded models and principled reasoning.
During my Ph.D. studies, I collaborated with Prof. Xindong Tang on the theory and application of Moment and Polynomial Optimization. I also visited the Computational Robotics Lab at Harvard University, where I worked with Prof. Heng Yang on high-performance numerical solvers for Contact-Implicit Motion Planning.
Selected Publications
Please see my Google Scholar for a full list of publications.
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FRTree Planner: Robot Navigation in Cluttered and Unknown Environments with Tree of Free RegionsIEEE Robotics and Automation Letters (RA-L), 2025 -
Geometry-Aware Safety-Critical Local Reactive Controller for Robot Navigation in Unknown and Cluttered EnvironmentsIEEE Robotics and Automation Letters (RA-L), 2024 -
Collision-Free Trajectory Optimization in Cluttered Environments Using Sums-of-Squares ProgrammingIEEE Robotics and Automation Letters (RA-L), 2024 -
Local Reactive Control for Mobile Manipulators with Whole-Body Safety in Complex EnvironmentsIEEE Robotics and Automation Letters (RA-L), 2025 -
Robot Navigation in Unknown and Cluttered Workspace with Dynamical System Modulation in Starshaped RoadmapIEEE International Conference on Robotics and Automation (ICRA), 2025