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 Master’s student studying Robotics at the University of Michigan, Ann Arbor, supervised by Prof. Uduak Inyang-Udoh at Autonomous & Intelligent Systems Lab (AI-Sys Lab). My projects are mainly related to using data-driven methods for solving optimal control problems. Previously, I obtained my Bachelor’s degree in Mechanical Engineering with a minor in Computer Science from the University of Michigan, Ann Arbor, where I was advised by Prof. Jingwen Hu at the University of Michigan Transportation Research Institute (UMTRI). During my undergraduate studies, I focused on parametric human modeling, with a particular emphasis on thoracic spine modeling.
News
- Jan 17, 2025Paper "Co-state Neural Network for Real-time Nonlinear Optimal Control with Input Constraints" has been accepted!
- Oct 02, 2024Our 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, 2023I am honored to have given an oral presentation at the 18th Injury Biomechanics Symposium on our work concerning parametric thoracic spine modeling.
Education
University of Michigan - Ann Arbor
M.S. - Robotics (December, 2024)
Key Courses:
MECHENG 564 Linear System Theory, AEROSP 551 Nonlinear System & Control,
AEROSP 740 Model Predictive Control, MECHENG 599-004 Data Driven Method for Control Systems, MECHENG 599-006 Applied Optimal Control,
IOE 512 Dynamic Programming, NAVARCH 583 Adaptive Control (Audit)University of Michigan - Ann Arbor
B.S.E. - Mechanical Engineering, Minor - Computer Science (April, 2023)
Key Courses:
MECHENG 461 Automatic Control, EECS 281 Data Structures & Algorithms,
EECS 445 Intro to Machine Learning, EECS 492 Intro to Artificial Intelligence