Assistant Professor at The School of Data Science, The Chinese University of Hong Kong, Shenzhen
Holds a joint appointment at Shenzhen Loop Area Institute (SLAI, a.k.a. 'Hetao' Institute)
Research focuses on the intersection of embodied intelligence and decision-making systems, particularly those driven by reinforcement learning algorithms
Interested in decision-making in safety-critical scenarios, aiming to develop robust and reliable control methods for embodied agents
Decision-making informed by diverse signals such as expert demonstrations, human feedback, or social norms
Research topics include: Whole-body Control for Humanoid Robots, Generalist Robotic Manipulation System (Vision-Language-Action, VLA), Generative Skill Acquisition from Simulation, and Reinforcement Learning from Human Feedback (RLHF)