Skip to main content

Shangqun (Simon) Yu

Ph.D. Candidate, Dynamic and Autonomous Robotic Systems Lab
Graduate Student

About Me

Shangqun (Simon)'s research aims to create control frameworks to advance the agility of legged robots by integrating reinforcement learning, trajectory optimization, and whole-body control.

Recent Publications

Marew, D., Lvovsky, M., Yu, S., Sessions, S., & Kim, D. (2022). Integration of Riemannian Motion Policy with Whole-Body Control for Collision-Free Legged Locomotion. Humanoid 2023

Contact Information

LGRC, A308