Boyang Li
Email: bol025 (at) ucsd.edu
Boyang Li is a Ph.D. student in Mechanical and Aerospace Engineering at UCSD. Prior to joining UCSD, Boyang received a B.Sc. in Mathematics and Physics (double major) from William & Mary in May 2022.
Boyang is interested in developing control methodologies that possess both mathematical formality and versatility in application to various robotics systems, drawing ideas from optimization theory, dynamical systems, and machine learning. His current research focuses on bridging Control Barrier Functions and Hamilton-Jacobi Reachability analysis.
In his leisure time, Boyang enjoys playing soccer, video games (League of Legends, War Thunder), and reading books.
Selected Projects
Value Functions for Robust Control Invariance: Analysis between methods from Hamilton-Jacobi reachability analysis and control barrier functions to generate value functions that enforce control invariance
Safe & stabilizing online control: A framework wherein a nonlinear robotic system tracks a simplified planning model via a control Lyapunov-like function that ensures stabilization to the planned path despite sudden real or artificial disturbances
Related Papers
Zheng Gong*, Boyang Li* and Sylvia Herbert, “Safe Returning FaSTrack With Robust Control Lyapunov-Value Functions”, IEEE Control Systems Letters (L-CSS) and IEEE Conference on Decision and Control (CDC), 2024.
Jason J. Choi*, Donggun Lee*, Boyang Li, Jonathan P. How, Koushil Sreenath, Sylvia L. Herbert, and Claire J. Tomlin, “A Forward Reachability Perspective on Robust Control Invariance and Discount Factors in Reachability Analysis.” (under review)
*co-first authors