Wei-Cheng Huang is currently a Ph.D. candidate in Computer Science, working in the Intelligent Motion Lab (IML) at the University of Illinois Urbana-Champaign, where he is advised by Professor Kris Hauser. His research focuses on robotic manipulation, especially in scenarios where robots need to frequently interact with the surrounding environment, utilizing contact interactions to achieve diverse manipulation skills. His work leverages tools and techniques in physics models, numerical optimization, and machine learning to develop principled approaches, for perception and planning under hybrid and multi-modal contact dynamics.

Before joining UIUC, he received the M.S.E. degree in Robotics from the GRASP Lab. He was a member of the Dynamic Autonomy and Intelligent Robotics (DAIR) Lab and was advised by Professor Michael Posa. He conducted research projects focusing on physics-based hybrid residual learning and real-time adaptive contact-implicit model predictive control for robotic manipulation.