Image processing and machine vision, Intelligentrobot, and complex mechatronic systems.

Zhao received the B.Sc. degree in automatic engineering from Xi’an Jiao Tong University, Xi’an, China, in 1982, and the D.Sc. degree in systems science from Tokyo Institute of Technology, Tokyo, Japan, in 1988.

He worked in the Institute of UFJ in Japan as a researcher in 1988, and accepted a position as an engineer in the Economic Policy Institute of Ministry of Mechanical and Electrical of China in 1989. He worked as associate professor in the Institute of System Engineering of Norhtern Jiaotong University in 1991. He joined the faculty in the Robotics Institute of Shanghai Jiao Tong University as a professor in 2001, and he is currently a professor in the Department of Automation.

Biped Walking Chair Robot , Book Reading Robot, Verticality Measuring Robot for Elevator Guide Rail, Image Quality Assessment, and 3D Reconstruction.

Best Research Award in the 4th IPS International Collaboration Symposium, 2010.

Discrete event system (DES), Inverted pendulum course design

1) Cao Xi, Zhao Qunfei, Ma Peisun, “Humanoid Robot 3-D Motion Simulation for Hardware Realization”, Journal of Donghua University (Eng. Ed.), Vol.24, No.6, 2007.
2) Cao Xi, Zhao Qun-fei, Ma Pei-sun, “Gait Stability Analysis of Biped Walking Chair Robot Based on Its Mechanical Parameters”, Robot, Vol.29, No.3, 2007.
3) Wang Lisheng, Xu Zhongben, Zhao Qunfei,“Quantitative characterizations of exponential convergence property of nonlinear discrete dynamical systems”, IEEE Transactions on Automatic Control, Vol.52, No.11, 2007.
4) Tang Jiaoyan, Zhao Qunfei, Huang Jie,“Application of ‘human-in-the-loop control’ to a biped walking-chair robot”, IEEE International Conference on Systems, Man and Cybernetics, SMC 2007.
5)Lu Fang-fang, Zhao Qun-fei, Yang Gen-ke, “Color image Quality Assessment based on Structural Similarity,” Journal of Donghua University (Eng. Ed.).2010, 27(4): 443-450.
6)Li Xu, Qunfei Zhao, Chengbin Ma, and Fangfang Lu, “Systematic methodology of multi-source information fusion for improving older drivers' safety,” IEEE IVS (Intelligent Vehicles Symposium), 2009: 1009-1014.