Junfeng Long

Junfeng Long is a Ph.D. student at the University of California, Berkeley, where he researches functional, reliable, and safe robotic and agentic systems with a focus on learning algorithms grounded in optimization and control theory. He previously served as a research assistant at Shanghai AI Laboratory and received his bachelor's degree from ShanghaiTech University. He is best known for his work on legged and humanoid robot locomotion, including the Hybrid Internal Model (ICLR 2024), H-infinity Locomotion Control (CoRL 2024), and the Perceptive Internal Model (ICRA 2025).