 | Prof. Ruqiang YanRuqiang Yan is a Professor and Ph.D. Supervisor at Xi'an Jiaotong University, and Director of the International Mechanical Center at the Institute of Advanced Equipment. He received his Ph.D. in Mechanical Engineering from the Department of Mechanical and Industrial Engineering at the University of Massachusetts Amherst, USA, in May 2007. His research focuses on the fundamental theories, methodologies, and engineering applications of intelligent operation and maintenance for major equipment. He has led multiple national-level research projects, including projects under the National Key R&D Program of China and key projects of the National Natural Science Foundation of China. He is an IEEE Fellow, an ASME Fellow, an IIAV Distinguished Fellow, and a recipient of China's Ten Thousand Talents Program. His honors include the Second Prize of the 2023 State Technological Invention Award, the First Prize of the 2020 Shaanxi Provincial Technological Invention Award, the First Prize of the Ministry of Education Natural Science Award, the 2019 IEEE Instrumentation and Measurement Society Technical Award, and the 2022 Distinguished Service Award. He led the development of one IEEE international standard, has published more than 100 papers in leading journals, and authored four English-language books. He currently serves as an IEEE Instrumentation and Measurement Society Distinguished Lecturer, Editor-in-Chief of IEEE Systems Journal and Mechatronics Technology, and Associate Editor of the Chinese Journal of Mechanical Engineering (English Edition), in addition to serving on the editorial boards of several journals. Title: TBD Abstract: TBD |
 | Prof. Ning SunNing Sun is a Professor at Nankai University and the Shenzhen Research Institute of Nankai University, as well as a dual-appointed Professor at Shenzhen Loop Area Institute. He is a Young Changjiang Scholar, a recipient of the Baosteel Excellent Teacher Award, and a recipient of the Outstanding Youth Fund of Tianjin. He has led two Key Programs of the National Natural Science Foundation of China (NSFC) and two projects of the National Key R&D Program of China. He has authored three monographs, published more than 80 papers in IEEE Transactions and Automatica, and holds over 30 granted invention patents. He serves as an Associate Editor for IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Systems, Man, and Cybernetics: Systems, and IEEE Transactions on Intelligent Transportation Systems. Title: Intelligent Control for Bionic Robots Abstract: With the increasing demands for human-robot interaction, the modeling and intelligent control of pneumatic bionic robots have attracted growing attention from researchers worldwide. Pneumatic artificial muscles feature light weight, high safety, and a large power-to-volume ratio, but they also have inherent shortcomings such as strong nonlinearity, hysteresis, and time-variation, which bring severe challenges to the modeling and precise control of robots actuated by them. Therefore, the realization of accurate modeling and intelligent control of pneumatic bionic robots is of great theoretical and practical significance. In recent years, we have conducted in-depth research on the modeling, planning, and control of pneumatic bionic robots. At the end of this report, we will prospect the future research directions and development trends of pneumatic bionic robots, and further report our research progress on other robotic systems, including underactuated robots, non-ferrous metal ingot finishing robots, and variable-structure robots. |
 | Prof. Nianyin ZengNianyin Zeng is a Professor and Ph.D. Supervisor at Xiamen University. His research interests include data intelligence analysis, covering modeling, learning, optimization, and decision-making, as well as AI-driven automation in aerospace, industry, and medicine. He has led or participated in more than 20 research projects, including projects funded by the National Natural Science Foundation of China, subprojects of National Major Science and Technology Programs, and the Fujian Provincial Outstanding Youth Fund. He has published more than 100 SCI-indexed papers in leading journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Industrial Informatics, IEEE Transactions on Medical Imaging, and IEEE Transactions on Biomedical Engineering. More than 20 of his papers are ESI Highly Cited or Hot Papers, and his work has received over 10,000 Google Scholar citations. He has an H-index of 43, co-authored five books, textbooks, or book chapters, and holds 18 granted intellectual property rights, including national invention patents, two of which have been commercialized. He has received awards including the Second Prize of the Invention and Entrepreneurship Achievement Award of the China Invention Association, the Second and Third Prizes of the Fujian Provincial Natural Science Award, the First Prize of the Chongqing Natural Science Award, and the Second Prize of the Xiamen Science and Technology Progress Award. His distinctions include Xiamen University's Nanqiang Young Top Talent, high-level talent recognition in Fujian Province and Xiamen, the Fujian Provincial Outstanding Youth Fund, the International Scholar Exchange Fellowship of the Korea Foundation for Advanced Studies, recognition among the World's Top 2% Scientists, and Clarivate's Highly Cited Researchers. He serves as an associate editor or editorial board member for more than ten journals and as a program committee member for international conferences. He is also a reviewer for the Wu Wen-tsün Artificial Intelligence Science and Technology Award, the National Natural Science Foundation of China, and research funding agencies in Poland and Chile. He serves in several professional organizations, including the China Association for Science and Technology's Aero Engine Industry-Academia Consortium, the Youth Working Committee of the Chinese Association for Artificial Intelligence, committees of the Chinese Association of Automation, and IEEE Computational Intelligence Society. Title: TBD Abstract: TBD |
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