Prof.  Fan  Zhun
Shantou University,  China

Title: Design Automation of Intelligent Robotic Systems Based on Evolutionary Computation

Abstract:

The main reason why the performance of domestic robots is generally difficult to reach the same level of that of foreign countries mainly lies in the lack of systematic continuous optimization and design automation. How to form a framework of design automation of intelligent robotic systems is the main topic of this report. This report will mainly focus on multi-angle modeling methods of intelligent robotic systems, solving intelligent robot optimization problems by combining constrained multi-objective evolutionary algorithms and machine learning methods, and applying design automation methods to develop intelligent robots.

Biography:

Zhun Fan is a Professor at the Department of Electronic Engineering of Shantou University, Guangdong Province, China. Currently, he is the Director of the Key Lab of Digital Signal and Image Processing of Guangdong Province, and the Executive Director of the Shantou Institute of Robotics and Intelligent Manufacturing. He holds a Ph.D. in Electrical and Computer Engineering from the Michigan State University (MSU), USA, a Master’s Degree and a Bachelor’s Degree in Control Science and Engineering from the Huazhong University of Science and Technology, China. Prof. Fan’s research interests include Artificial Intelligence for System Modeling, Robotics, Mechatronics Design Automation and Optimization, Evolutionary Computation and Machine Learning. He published more than 100 papers, and one research monograph. He has been principal investigator for a number of research projects sponsored by Danish Agency of Science, Technology and Innovation, National Science Foundation of USA, and Natural Science Foundation of China. He is a member of the “Thousand Youth Talent” plan of china, a member of the “Yang Fan” Plan of Guangdong Province, and an IEEE senior Member.