Proceedings of 2023 Chinese Intelligent Automation Conference (eBook)

Prof. Deng received the B.S. degree from Sichuan University, Chengdu, China, in 1986 and the Ph.D. degree from Harbin Institute of Technology (HIT), Harbin, China, in 1991, respectively. From 1992 to 1994, as a postdoctoral researcher at Tsinghua University, his research interests got involved in fuzzy neural network models, fast BP learning algorithms, and asynchronous learning control. In the end of 1994, he became an associate professor at Tsinghua University. From 1996 to 1997, he served as a research associate at Hong Kong Polytechnic University, Kowloon, Hong Kong, China. During that period, he mainly worked on reinforcement learning approaches. From 2001 to 2003, he was a visiting professor at Washington University in St. Louis, St. Louis, MO, USA, where he took part in DARPA- and NSF-funded projects related to networked embedded system technologies (NEST) and novel ncRNA gene prediction, respectively. Since 2000, he has been a full professor at Tsinghua University. So far he has authored or co-authored more than 290 papers and 5 books, including international peer-reviewed academic journals like IEEE TNN,TNNLS,and TITS and top-class international conferences such as CVPR, ICCV, ECCV, AAAI, IJCAI, ICPR, ICIP, ECAI, ITSC, IV, ICRA, and IROS.

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The book presents selected research papers from the 2023 Chinese Intelligent Automation Conference (CIAC2023), held in Nanjing, China, on October 2-5, 2023. It covers a wide range of topics including intelligent control, robotics, artificial intelligence, pattern recognition, unmanned systems, IoT, and machine learning. It includes original research and the latest advances in the field of intelligent automation. Engineers and researchers from academia, industry, and government can gain valuable insights into solutions combining ideas from multiple disciplines in this field.