Keynote & Plenary Speakers
Prof. Shuzhi Sam Ge, IEEE Fellow
National University of Singapore, Singapore
Biography: Shuzhi Sam Ge, PhD, fellows of IEEE, IFAC, IET, and Academy of Engineering (SG). He is a professor in Department of Electrical and Computer Engineering, National University of Singapore, the director of Center for Robotics and in Honory QianRen JiHua Professorship with University of Electronic Science and Technology of China. He is a visiting professor of the Chang Jiang Scholar Program, the vice-chairman of International Robotics and Intelligent Equipment Industry Alliance, and a member in advisory group of national robotics standardization. He was awarded NSF Outstanding Overseas Young Researcher Award (China) and National Technology Award (Singapore). His research interests include social robotics, intelligent systems and intelligent equipment. Professor Shuzhi Sam Ge has presided over and involved in national projects under Singapore Government, National Basic Research Program (Program 973) and State High-Tech Development Plan (Program 863) in China. He has published 7 monographs, over 700 papers with more than 20,000 citations. He is an Elsevier Highly Cited Chinese Researcher (2014、2015、2016) and a Thomson Reuters Highly Cited Researcher (2016). He is currently serving as the Editor-in-Chief of International Journal of Social Robotics and the associate editor of Automatica.
Prof. Il Hong Suh, IEEE Fellow
Hanyang University, Korea
Biography: Professor Suh has been involved in a number of Korea National Projects regarding human robot interaction, cognitive mobile robot navigation, and biology-inspired learning architecture and task skill learning technology under the support of KEIT and CHIC (Center of Human centered interaction for coexistence). His research interests lie in the area of machine learning and control for robots including action-coupled perception and learning, skill acquisition, autonomous navigation and HRI. He has published more than 170 contributions in robotics, intelligence and control. He was awarded Korea Prime Minister medal for contributions and leadership in fostering Robotics R/D personnel for Korea Robotics Industries, and for contributions to developing Robotics fundamental technologies in 2011. And, he was one of main contributors for development of industrial robot controller (NOVA 10) which was awarded by NAEK(National Academy of Engineers, Korea) as one of 1980’s key industrial electronics technologies among Top 100 the most influential Korean Industrial Technologies from 1950 to 2010. He was president of Korea Robotics Society, and president of Korea Brain Engineering Society. He served as Editor-in–chief for Journal of Intelligent Service Robotics, Springer, and an associate Editor for IEEE Transactions on Robotics. And, he was the General Chair for 2016 IEEE/RSJ IROS , one of annual big prestigious robotics conference together with IEEE ICRA.
Title of Speech: AI and AI robotics: Past, Now and Future
Abstract: Recently, AI (artificial intelligence) and AI Robotics showed a tremendous technical progress. In the past, AI was characterized by handcrafted knowledge models for very specific application domains. Currently, exceptional progress of AI has been achieved by recent advances of statistical machine learning, especially owing to deep learning and big data. Now, deep learning models showed remarkable successes in the area spanning image recognition (ImageNet Challenge), speech recognition (Deep Speech), and search and planning (AlphaGo). And, it is believed to be a leading tool for promising AI. On the other hand, robots are expected to gain high level of intelligence from AI success. And thus, we expect robots may work cognitively not only for factory automation, but also for commercial space automation as well as home space automation. There are some robots walking and manipulating like a human, talking to and listening from us, trying to read our emotions and intentions, and autonomously drives cars. However, current robots seems to be lacking intelligence to provide satisfactory service. Level of intelligence is still far behind our expectation, which is a barrier to cross over for practical commercialization. In this talk, we discuss what technical challenges need to be breakthrough to make robots upgraded for our future robots showing human-level intelligence. And also we discuss what level of intelligent robots will be available in next 10 years or in next 20 years.
Prof. Makoto Iwasaki, IEEE Fellow
Nagoya Institute of Technology, Japan
Biography: Makoto Iwasaki received the B.S., M.S., and Dr. Eng. degrees in electrical and computer engineering from Nagoya Institute of Technology, Nagoya, Japan, in 1986, 1988, and 1991, respectively. Since 1991, he has been with the Department of Computer Science and Engineering, Nagoya Institute of Technology, where he is currently a Professor at the Department of Electrical and Mechanical Engineering. As professional contributions of the IEEE, he has been an AdCom member of IES in term of 2010 to 2019, a Technical Editor for IEEE/ASME TMech from 2010 to 2014, an Associate Editor for IEEE TIE since 2014, a Management Committee member of IEEE/ASME TMech (Secretary in 2016 and Treasurer in 2017), and a Co-Editors-in-Chief for IEEE TIE since 2016, respectively. He is IEEE fellow class 2015 for "contributions to fast and precise positioning in motion controller design". He has received the Best Paper Award of Trans of IEE Japan in 2013, the Best Paper Award of Fanuc FA Robot Foundation in 2011, the Technical Development Award of IEE Japan in 2017, and The 3rd Nagamori Awards in 2017, respectively. His current research interests are the applications of control theories to linear/nonlinear modeling and precision positioning, through various collaborative research activities with industries.
Title of Speech: Full-Closed Control-Based Vibration Suppression for Positioning Devices with Strain Wave Gearing
Abstract: The invited talk presents a practical robust compensator design technique for precision positioning devices including strain wave gearing. Since HarmonicDrive(R) gears (HDGs), a typical strain wave gearing, inherently possess nonlinear properties known as Angular Transmission Errors (ATEs) due to structural errors and flexibility in the mechanisms, the ideal positioning accuracy corresponding to the apparent resolution cannot be essentially attained at the output of gearing in the devices. In addition, mechanisms with HDGs generally excite resonant vibrations due to the periodical disturbance by ATEs, especially in the condition that the frequency of synchronous components of ATE corresponds to the critical mechanical resonant frequency. The lecture, therefore, focuses on the vibration suppression in positioning, in order to improve the performance deteriorations by applying a robust full-closed control. In the compensator design, under the assumption that full-feedback positioning systems can be constructed using load-side (i.e. output of the gearing) sensors, an H_inf compensator design has been adopting to shape frequency characteristics on the mechanical vibration, with robust control properties against parameter variations. The proposed approach has been applied to precision motion control of actual devices as servo actuators, and verified through numerical simulations and experiments.
Prof. Chih-Shing (Stan) Wei
The Cooper Union for the Advancement of Science and Art, USA
Biography: Dr. Chih-Shing (Stan) Wei is presently the George Clark Professor of Mechanical Engineering at The Cooper Union for the Advancement of Science and Art, in New York. He received his Ph.D. in 1982 from Georgia Tech in Atlanta. That same year he started his academic career, first at the Polytechnic Institute of New York (now NYU Tandon School of Engineering). At Polytechnic, he helped establish a CAD/CAM program at its Department of Mechanical Engineering. He also consulted for General Motors and Ford in a number of collaborative R&D projects aimed at advancing the field of computer-based modeling of metal casting processes. Since joining Cooper Union in 1988, he has established Cooper’s Manufacturing and Industrial Robotics Lab, and taught courses in manufacturing engineering, cloud-based design and manufacturing, and industrial robotics. More recently, he has expanded his research interests into biomedical engineering and use of haptics in healthcare applications, and published reports/papers, collaborated with Dr. Peter Walker of NYU School of Medicine, in the areas of arthroplasty instrumentation and replacement knee component design. Dr. Wei has published one book, on CAD, and more than 50 technical papers, and has received six U.S. patents.
Title of Speech: Haptics for Healthcare Applications
Abstract:The effective use of haptic devices in healthcare applications has been recognized as an emerging, and critical, technology that would significantly advance the implementation of healthcare instrumentation and robotics. Notable fields include planning/simulation of surgical procedures, telesurgery, laparoscopic forceps, physical therapy devices, computer-assisted physical therapy, and prosthetic limbs. This presentation will examine the current state of this art, and indicate the leading trends in the continuing development of this technology.
Prof. Susumu Hara
Nagoya University, Japan
Biography: Susumu Hara received his BS, MS, and PhD degrees from Keio University, Tokyo, Japan in 1992, 1994, and 1996, respectively, all in engineering. From 1995 to 2000, he was a Research Fellow with the Japan Society for the Promotion of Science. From 1996 to 2000, he was a Visiting Researcher with the Faculty of Science and Technology, Keio University. From 1998 to 1999, he was a Visiting Scholar with the Department of Mechanical Engineering, University of California, Berkeley. In 2000, he joined the faculty of Toyota Technological Institute, Nagoya, Japan. In 2008, he joined the faculty of Nagoya University, Nagoya, Japan, where he is currently a Professor in the Department of Aerospace Engineering, Graduate School of Engineering. His current research interests include motion and vibration control of mechanical structures and spacecraft, nonstationary control methods, and control problems of man machine systems. He is a member of the JSME, SICE, RSJ, IEEJ, JSPE, IEEE, AIAA, and JSASS.
Title of Speech: Spacecraft Landing Using Base-Extension Separation Mechanisms
Abstract: Lunar/Planetary exploration spacecraft landing missions require a soft landing mechanism to prevent a large shock load and tipping over when landing on various types of terrain. The speaker's research group previously invented a novel landing mechanism called a Telescopic-Gear- Base-Extension Separation Mechanism that operates by means of energy transfer and an adjustable structure. This mechanism passively adjusts the shape of the landing gear according to the landing terrain and transfers the energy of the lander to a spring as potential energy. The outstanding performance of this landing mechanism was demonstrated experimentally. In this keynote speech, we discuss whole new landing systems such as an above Base-Extension Separation Mechanism based method.
Prof. Juntao Fei
Hohai University, China
Biography: Professor Juntao Fei received his B.S. degree from the Hefei University of Technology in 1991, M.S. degree from University of Science and Technology of China in 1998, M.S and Ph.D. degree from the University of Akron, USA in 2003 and 2007 respectively. He was a visiting scholar at University of Virginia, USA from 2002 to 2003, North Carolina State University, USA from 2003 to 2004 respectively. He served as an assistant professor at the University of Louisiana, USA from 2007 to 2009. Since May 2009, He has been a Professor at the College of IoT Engineering, Hohai University , Director of Institute of Electrical and Control Engineering. His research interests include adaptive control, intelligent control, sliding mode control, power electronics and control, mechatronics and robotics, smart material and structure. He is a Senior Member of IEEE. He has served as an associate editor for Transactions of the Institute of Measurement and Control, reviewers for numerous international journals, program committee members and chairs for numerous international conferences. He has published more than 200 journal and conference papers and 5 books and led more than 20 funded research projects to completion as Principal Investigator. He authorized 40 invention patents. He is an awardee of the Recruitment Program of Global Experts (China). His biography has been included in Who’s Who in the World, Who’s Who in Science and Engineering, Who’s Who in America.
Title of Speech: Adaptive Sliding Mode Control Using Double Loop Recurrent Neural Network for Dynamic Systems
Abstract: In this study, an adaptive sliding mode control system using a double loop recurrent neural network (DLRNN) structure is proposed for a class of nonlinear dynamic systems. A new three-layer recurrent neural network(RNN) is proposed to approximate unknown dynamics with two different kinds of feedback loops where the firing weights and output signal calculated in the last step are stored and used as the feedback signals in each feedback loop. Since the new structure has combined the advantages of internal feedback neural network(NN) and external feedback neural network, the new structure can acquire the internal state information while the output signal is also captured, thus the new designed DLRNN can achieve better approximation performance compared with the regular neural networks without feedback loops or the regular recurrent neural networks with a single feedback loop. The new proposed DLRNN structure is employed in the equivalent controller to approximate the unknown nonlinear system dynamics, and the parameters of the DLRNN are online updated by adaptive laws to get favorable approximation performance. To investigate the effectiveness of the adaptive neural sliding controller with DLRNN, the proposed methodology is applied to a z-axis Micro-Electro- Mechanical System (MEMS) gyroscope to control the vibrating dynamics of the proof mass. Simulation results demonstrate that the proposed control system can achieve good tracking performance and the comparisons of approximation performance between Radial Basis Function(RBF) NN, RNN and DLRNN show that the DLRNN can accurately estimate the unknown dynamics with fast speed while the internal states of DLRNN are more stable.
Prof. Ning Wang
Dalian Maritime University, China
Biography: Ning Wang received his B. Eng. degree in Marine Engineering and the Ph.D. degree in control theory and engineering from the Dalian Maritime University (DMU), Dalian, China in 2004 and 2009, respectively. From September 2008 to September 2009, he was financially supported by China Scholarship Council (CSC) to work as a joint-training PhD student at the Nanyang Technological University (NTU), Singapore. In the light of his significant research at NTU, he received the Excellent Government-funded Scholars and Students Award in 2009. From August 2014 to August 2015, he worked as a Visiting Scholar at the University of Texas at San Antonio. He is currently a Full Professor with the School of Marine Electrical Engineering, DMU, Dalian 116026, China.
Dr. Wang received the Nomination Award of Liaoning Province Excellent Doctoral Dissertation, the DMU Excellent Doctoral Dissertation Award and the DMU Outstanding PhD Student Award in 2010, respectively. He also won the State Oceanic Administration Outstanding Young Scientists in Marine Science and Technology, the Liaoning Province Award for Technological Invention, the Liaoning BaiQianWan Talents, the Liaoning Excellent Talents, the Science and Technology Talents the Ministry of Transport of the P. R. China, the Youth Science and Technology Award of China Institute of Navigation, and the Dalian Leading Talents. He has authored over 200 book, journal, and refereed conference publications. His research interests include fuzzy neural systems, machine learning, nonlinear control, self-organizing fuzzy neural modeling and control, unmanned vehicles and autonomous control. He has been Leading Guest Editors of International Journal of Fuzzy Systems and Advances in Mechanical Engineering. He currently serves as Associate Editors of the Neurocomputing and the International Journal of Fuzzy Systems.