Keynote SPEAKERS
Prof. Huayong Yang，Zhejiang University, China
浙江大学机械工程学院，杨华勇教授 （中国工程院院士）
Biography: Professor Huayong Yang is the head of School of Mechanical Engineering, the director of the State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University. He received a doctor degree of Philosophy from the University of Bath, and a BSc in Mechanical Engineering from Huazhong University of Science and Technology. He was elected as a member of the Chinese Academy of Engineering in 2013.
Professor Yang’s research interests are in motion control and energy saving of mechatronic systems, development of fluid power component and system, integration of electro-hydraulic system and engineering application. He is a prolific researcher with 179 invention patents, (co)authored 3 academic books and over 290 technical papers published in international journals and conferences. From 2000 to 2015, he was a committee member of the advanced manufacturing technology within the China High Technology (863) program of the Ministry of Science and Technology (MOST). In 2007 and 2012, he was twice the Chief Scientist of a project founded by the National Basic Research Program (973) of MOST. He was appointed as a Cheung Kong Chair Professor by the MOE in 2005. He has been a fellow member of the Chinese Mechanical Engineering Society, and a member of the Academic and Advisory Committees of 7 State Key Laboratories of TsingHua University, Zhejiang University, Shanghai Jiaotong University, Huazhong University of Science and Technology, Harbin Institute of Technology, Central South University and Chongqing University. He was recipient of the first prize in the National Scientific and Technological Progress in 2012 and the second prize in 2003.
杨华勇，流体传动与控制领域专家。重庆人。1982年毕业于华中工学院（现华中科技大学）获学士学位，1988年毕业于英国巴斯大学获博士学位。2004年获国家杰出青年基金项目资助，2005年受聘为浙江大学“长江学者”特聘教授，2007年和2012年两任“973”项目首席科学家。现任浙江大学教授、浙江大学机械工程学院院长、流体动力与机电系统国家重点实验室（浙江大学）主任、国家电液控制工程技术中心主任，兼任中国机械工程学会流体传动及控制分会荣誉主任、浙江省知联会副会长、浙江大学知联会会长等社会职务。2013年当选为中国工程院院士。
杨华勇院士近30年来一直在教学科研一线，先后主持了国家重点基础研究发展计划（973）、国家高技术研究发展计划（863）、国家自然科学基金、国家科技支撑计划等项目50项。出版专著4部，在国内外重要学术刊物发表杂志论文260余篇，其中SCI收录论文86篇，EI收录论文230篇；获得授权国家发明专利152项。他长期从事电液控制方面的理论研究、基础元件和系统开发、盾构与液压电梯关键技术研发以及工程化等工作，突破了盾构压力稳定性控制、载荷顺应性设计和姿态预测性纠偏基础理论与关键技术，攻克了掘进过程失稳、失效、失准三大国际难题，研发出土压、泥水和复合三大类盾构系列产品，使我国进入盾构技术先进国家行列；攻克液压电梯速度与位置精确控制、势能高效回收关键技术难题，形成国际领先的自主液压电梯核心技术；提出新型平衡阀设计新方法，研制了样机并实现了工程应用。
杨华勇院士科研的探索创新工作获得多项奖励：其“盾构装备自主设计制造关键技术及产业化”获2012年度国家科技进步奖一等奖，“电液比例节能型电梯液压速度控制技术”获2003年度国家科技进步二等奖。2013年获何梁何立科学技术奖。
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Prof. Atsuo Kawamura (IEEE Fellow)
Yokohama National University, Japan
Biography: Atsuo Kawamura (S’77-M’81-SM’96-F’02-LF’2019 of IEEE) received the B.S.E.E., M.S.E.E., and Ph.D. degrees in electrical engineering from the University of Tokyo, Tokyo, Japan, in 1976, 1978, and 1981, respectively.
In 1981, he joined to the Department of Electrical and Computer Engineering, University of Missouri, Columbia as a Postdoctoral Fellow, where he was an Assistant Professor from 1983 to 1986. Since 1986, he has been with the Division of Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan, where he was first an Associate Professor and later became a Professor in 1996. He served as a dean of College of Engineering Science and Graduate School of Engineering from 2013 to 2015. He has become Professor Emeritus in 2019, and now is a professor of endowed chair ( Power Electronics) at the same university. He has served to completion of 38 Ph.D and 145 Master’s and 179 Bacheler’s students. He holds 7 patents and has published more than 130 journal papers and 320 international and 560 domestic conference papers, and 9 books.
His research interests include power electronics, digital control, electric vehicles, robotics, train traction control, etc. He received several awards including the IEEE IAS Transactions Prize Paper Award in 1988, the Prize Paper Award of IEE of Japan in 1996, IEEE IES Transactions Best Paper Awards in 2001 and 2002 , and EPE-PEMC Award in 2008. He became a Fellow of the IEEE in 2002 with the citation, "For Contributions to Real-Time Digital Feedback Control of PWM Inverters.”
Dr. Kawamura is a Fellow of the Institute of Electrical Engineers of Japan(IEE of Japan), and member of Robotics Society of Japan. He was the conference chairperson of the IEEE/IAS and IEEJ/IAS joint Power Conversion Conference (PCC-Yokohama) in 1993. He was an associate editor of IEEE Power Electronics Transactions from1995 to 2000. He was the program chair of the 2009 Robotics Society of Japan Annual Meeting, and was the conference Chair of IPEC-Sapporo-ECCE-Asia in 2010 and a president of IEE of Japan/IAS(Industry Application Society) in 2012-2013, and a conference chair of 2018 IEEJ IAS annual meeting (JIASC) at Yokohama.
Prof. Naira Hovakimyan (IEEE Fellow)
University of Illinois at Urbana-Champaign, USA
Biography: Naira Hovakimyan received her MS degree in Applied Mathematics from Yerevan State University in Armenia. She got her Ph.D. in Physics and Mathematics from the Institute of Applied Mathematics of Russian Academy of Sciences in Moscow. She is currently W. Grafton and Lillian B. Wilkins Professor of Mechanical Science and Engineering at UIUC. She has co-authored two books, eleven patents and more than 450 refereed publications. She is the 2011 recipient of AIAA Mechanics and Control of Flight Award, the 2015 recipient of SWE Achievement Award, the 2017 recipient of IEEE CSS Award for Technical Excellence in Aerospace Controls, and the 2019recipient of AIAA Pendray Aerospace Literature Award. In 2014 she was awarded the Humboldt prize for her lifetime achievements. She is Fellow of AIAA and IEEE. She is cofounder and chief scientist of Intelinair. Her work was featured in the New York Times, on Fox TV and CNBC.
Speech Title: Safe Learning and Control with L1 Adaptation
Abstract: Learning-based control paradigms have seen many success stories with various robots and co-robots in recent years. However, as these robots prepare to enter the real world, operating safely in the presence of imperfect model knowledge and external disturbances is going to be vital to ensure mission success. In the first part of the talk, we present an overview of L1 adaptive control, how it enables safety in autonomous robots, and discuss some of its success stories in the aerospace industry. In the second part of the talk, we present some of our recent results that explore various architectures with L1 adaptive control while guaranteeing performance and robustness throughout the learning process. An overview of different projects at our lab that build upon this framework will be demonstrated to show different applications.
Prof. Zheng Liu
University of British Columbia, Canada
Biography: Zheng Liu received a Doctorate in engineering from Kyoto University, Kyoto, Japan, in 2000, and a Ph.D. degree from the University of Ottawa, Canada, in 2007, respectively. From 2000 to 2001, he was a Research Fellow with the Nanyang Technological University, Singapore. Dr. Liu then joined the National Research Council of Canada (Ottawa, Ontario) as a Governmental Laboratory Visiting Fellow nominated by NSERC in 2001. From 2002, he became a Research Officer associated with two research institutes of NRC (Aerospace [IAR] & Construction [IRC]). From 2012 to 2015, Dr. Liu worked as a Full Professor with Toyota Technological Institute, Nagoya, Japan. He is now with the Faculty of Applied Science at the University of British Columbia – Okanagan. His research interests include digital twin, data/information fusion, computer/machine vision, machine learning, smart sensor and industrial IoT, and non-destructive inspection and evaluation. Dr. Liu is a fellow of SPIE and a senior member of IEEE. In addition, he co-chairs the IEEE Instrumentation and Measurement Society technical committee (TC-1). He holds a Professional Engineer license in both British Columbia and Ontario. Dr. Liu serves on the editorial boards for journals including IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Mechatronics, IEEE Journal of RFID, Information Fusion (Elsevier), and Machine Vision and Applications (Springer). He also serves the Standards & Interoperability Committee of Research Data Canada.
Plenary SPEAKERS
Prof. Shane Xie (Chair in Robotics+Autonomous Systems)
University of Leeds, United Kingdom
Biography: Prof Shane (Sheng Q) Xie, Ph.D., FIPENZ, is the Chair of Robotics and Autonomous Systems and Director of the Rehabilitation Robotics Lab at the University of Leeds, and he was the Director of the Rehabilitation and Medical Robotics Centre at the University of Auckland, New Zealand (NZ, 2002-2016). He has >28 years of research experience in healthcare robotics and exoskeletons. He has published > 400 refereed papers and 8 books in rehabilitation exoskeleton design and control, neuromuscular modelling, and advanced human-robot interaction. He has supervised >15 postdocs, 62 PhDs and 80 MEs in his team with funding of >£27M from five countries since 2003. His team has invented three award-winning rehabilitation exoskeletons. He is an expert in control of exoskeletons, i.e. impedance control, adaptive control, sliding mode control, and iterative learning control strategies. He has received many distinguished awards including the New Zealand Science Challenge Award, the David Bensted Fellowship Award, and the AMP Invention Award. He is an elected Fellow of the Institute of Professional Engineers of New Zealand and the Technical Editor for IEEE/ASME Transaction on Mechatronics.
Prof. Hesheng Wang
Shanghai Jiao Tong University, China
Biography: Hesheng Wang received the B.Eng. degree in Electrical Engineering from the Harbin Institute of Technology. Harbin, China, in 2002, the M.Phil. and Ph.D. degrees in Automation & Computer-Aided Engineering from the Chinese University of Hong Kong, Hong Kong, in 2004 and 2007, respectively. From 2007 to 2009, he was a Postdoctoral Fellow and Researcher Assistant in the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong.
He joined Shanghai Jiao Tong University as an Associate Professor in 2009. Currently, he is a Professor of Department of Automation, Shanghai Jiao Tong University, China. He worked as a visiting professor at University of Zurich in Switzerland. His research interests include visual servoing, service robot, robot control and computer vision.
Prof. Wang has published more than 100 papers in refereed professional journals and international conference proceedings. He has received a number of best paper awards from major international conferences in robotics and automation. Dr. Wang is an Associate Editor of Assembly Automation and the International Journal of Humanoid Robotics, a Technical Editor of the IEEE/ASME TRANSACTIONS ON MECHATRONICS. He served as an Associate Editor of the IEEE TRANSACTIONS ON ROBOTICS from 2015 to 2019. He was a guest editor of Mathematical Problems in Engineering, Journal of Applied Mathematics and International Journal of Advanced Robotic Systems. He serves as The Technical Activities Board Member of IEEE Robotics and Automation Society. He served as associate editor in Conference Editorial Board of IEEE Robotics and Automation Society. Prof. Wang is actively involving in organization of international conferences. He served as organizing committee member for many international conferences such as ICRA and IROS. He was the program chair of the 2014 IEEE International Conference on Robotics and Biomimetics, the general chair of the 2016 IEEE International Conference on Real-time Computing and Robotics. He is the program chair of The 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. He was a recipient of Shanghai Rising Star Award in 2014 and The National Science Fund for Outstanding Young Scholars in 2017. He is a Senior Member of IEEE.
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Prof. Da-peng Tan
Zhejiang University of Technology, China
Biography: Dapeng Tan received the Ph.D. degree from the College of Mechanical and Energy Engineering (CMEE), Zhejiang University at Hangzhou in 2008. Since 2008, he has been with the Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education & Zhejiang Province, as a lecturer, and became a professor in 2015. He has published more than 140 papers and gained more than 100 Chinese invention patents. He performed research in the areas of embedded system technology, vibration engineering & noise control, nonlinear signal processing and process equipment & control engineering. His research interests include soft sensing systems, dynamical pattern recognition and industrial process monitoring & diagnosis.
谭大鹏，博士、教授、博士生导师、博士后合作导师，浙江工业大学机械工程学 院副院长；浙江省万人计划青年拔尖人才、浙江省杰出青年科学基金获得者、浙 江省院士结对青年英才、浙江省新世纪 151 人才工程第二层次、浙江省高校中青 年学科带头人；中国智能制造专委会委员(党组成员)、中国转子动力学会常务理 事、中国机械工程领域期刊分级委员会委员、浙江省青年高层次人才协会常务理 事（党组成员）。主要研究方向：主要从事机-电-液一体化系统研究与开发工作，具体包含计算机辅助动力学(流 固耦合)、非线性信号处理、超精密加工、工业机器人、嵌入式系统控制、机电 设备状态监控、分布式智能网络等方向。