Yulin Li
Scholar

Yulin Li

Google Scholar ID: SxkwBT0AAAAJ
The Hong Kong University of Science and Technology
Optimiation TheoryRobot Motion Planning&Control
Citations & Impact
All-time
Citations
70
 
H-index
5
 
i10-index
3
 
Publications
14
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • - On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning, Robotics: science and systems, 2025
  • - FRTree Planner: Robot Navigation in Cluttered and Unknown Environments with Tree of Free Regions, IEEE Robotics and Automation Letters (RA-L), 2025
  • - Geometry-Aware Safety-Critical Local Reactive Controller for Robot Navigation in Unknown and Cluttered Environments, IEEE Robotics and Automation Letters (RA-L), 2024
  • - Collision-Free Trajectory Optimization in Cluttered Environments Using Sums-of-Squares Programming, IEEE Robotics and Automation Letters (RA-L), 2024
  • - Local Reactive Control for Mobile Manipulators with Whole-Body Safety in Complex Environments, IEEE Robotics and Automation Letters (RA-L), 2025
  • - Robot Navigation in Unknown and Cluttered Workspace with Dynamical System Modulation in Starshaped Roadmap, IEEE International Conference on Robotics and Automation (ICRA), 2025
Research Experience
  • - Collaborated with Prof. Xindong Tang on the theory and application of Moment and Polynomial Optimization.
  • - Visited the Computational Robotics Lab at Harvard University, where he worked with Prof. Heng Yang to develop high-performance numerical solvers for Contact-Implicit Motion Planning.
Education
  • - Ph.D. Candidate in Robotics and Autonomous Systems at the Hong Kong University of Science and Technology (HKUST), supervised by Prof. Jun Ma and Prof. Michael Yu Wang.
  • - M.Sc. in Mechanical and Aerospace Engineering from the University of California, San Diego (UCSD).
  • - B.Eng. in Mechatronic Engineering from Tongji University.
Background
  • Research interests: Optimization and Robot Motion Planning, particularly in designing algorithms that enable robots to intelligently interact with their surroundings. Focuses on creating solutions that achieve safe and agile motion in complex environments while delivering both high practical performance and rigorous theoretical guarantees.
Miscellany
  • Email: yline (AT) connect (DOT) ust (DOT) hk. Download my CV.