Lihan Lian

Lihan Lian

Robotics enthusiast. Passionate about optimal control and deep learning.

Hi, I’m Lihan Lian (廉立涵).

I am a robotics enthusiast with a deep admiration for the pioneers of modern control theory, including Lev Pontryagin, Richard Bellman, and Rudolf Kalman.

I am passionate about robotics, particularly in areas such as legged robots, robotic manipulation, and autonomous driving. My research interests include, but are not limited to, optimal control, iterative learning control, reinforcement learning and imitation learning.

To take risks and make mistakes.

About me

I am currently a research assistant at Shanghai Jiao Tong University, supervised by Prof. Wenzhao Lian (连文昭). I earned my Master’s degree in Robotics at the University of Michigan, Ann Arbor, where I was advised by Prof. Uduak Inyang-Udoh in the Autonomous & Intelligent Systems Lab (AI-Sys Lab). My work primarily focuses on applying data-driven methods to solve optimal control problems.

Prior to that, I obtained a Bachelor’s degree in Mechanical Engineering with a minor in Computer Science from the University of Michigan, Ann Arbor. During my undergraduate studies, I was advised by Prof. Jingwen Hu at the University of Michigan Transportation Research Institute (UMTRI), where I worked on parametric human modeling, with a particular emphasis on thoracic spine modeling.

News

  • Jan 17, 2025
    Paper "Co-state Neural Network for Real-time Nonlinear Optimal Control with Input Constraints" has been accepted!
  • Oct 02, 2024
    Our paper "Co-state Neural Network for Real-time Nonlinear Optimal Control with Input Constraints" has been submitted to American Control Conference (ACC) 2025.
  • May 23, 2023
    I am honored to have given an oral presentation at the 18th Injury Biomechanics Symposium on our work concerning parametric thoracic spine modeling.

Education