Minsen Yuan

Hello! I am a third-year Ph.D. student in Aerospace Engineering and Mechanics at the University of Minnesota, Twin Cities, advised by Prof. Yue Yu and Prof. Ryan Caverly. I am the recipient of the John A. & Jane Dunning Copper Fellowship.

Before joining UMN, I obtained my master's degree from the University of Michigan in 2023, and my bachelor's degree from Wuhan Institute of Technology in 2021.

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Research

My research develops real-time trajectory optimization and optimal control methods for multi-agent autonomous systems, achieving orders-of-magnitude speedups over conventional approaches while maintaining rigorous constraint satisfaction. I focus on bridging optimization, estimation, and deployable autonomy, with a growing interest in learning-based methods.

Trajectory Optimization for Energy-Sharing UAV-UGV with Multiple Task Locations

A nonlinear program (NLP) formulation for UAV-UGV trajectory optimization via smoothing of disjunctive constraints, supporting partial UAV recharge and reducing computation time by orders of magnitude over mixed-integer nonlinear (MINLP) formulations while maintaining comparable constraint satisfaction.

Warm-Started Sequential Convex Programming (SCP) for Multi-Agent Trajectory Optimization

A sequential convex programming framework with filtering-based warm-starting for continuous-time multiagent quadrotor trajectory optimization, ensuring constraint satisfaction along the entire trajectory and reducing computation time by up to two orders of magnitude over benchmark methods.

A filtering-based warm-started sequential convex programming framework for nonconvex multi-agent quadrotor trajectory optimization, achieving significantly faster convergence and improved solution quality.

Website template from Jon Barron.