Dr. Leilei Cui, Mechanical Engineering

Name:

Dr. Leilei Cui

Title:

Assistant Professor

Department:

Mechanical Engineering

Describe your research in about 200 words.

My research lies at the intersection of reinforcement learning and control theory, with applications in robotics. On one hand, reinforcement learning offers a data-driven approach to robot motion control, reducing the need for laborious modeling and controller design. On the other hand, control theory provides a principled and verifiable framework to ensure stability and robustness of robots. By integrating these two paradigms, my work aims to develop learning-based control methods that are both adaptive and reliable for real-world robotic systems.

What’s the most interesting thing you have learned from a student?

Students’ ideas and questions inspire me to view problems from new perspectives and deepen my understanding of the subject matter.