Tianyou Chai, Professor, Northeastern University, China
Biography: Prof. Chai received the Ph.D. degree in control theory and engineering from Northeastern University, Shenyang, China, in 1985. Since 1985, he has been with the Research Center of Automation, Northeastern University, where he became a Professor in 1988, and a Chair Professor in 2004. He is the founder and Director of the Center of Automation, which became a National Engineering and Technology Research Center in 1997. He has made a number of important contributions in control technologies and applications. He has authored and coauthored two monographs, 84 peer reviewed international journal papers, and around 219 international conference papers. He has been invited to deliver more than 20 plenary speeches in international conferences of IFAC and IEEE. His research interests include adaptive control, intelligent decoupling control, integrated plant control and systems, and the development of control technologies with applications to various industrial processes. Prof. Chai is a member of the Chinese Academy of Engineering, an Academician of International Eurasian Academy of Sciences, an IEEE Fellow and an IFAC Fellow. He is a Distinguished Visiting Fellow of The Royal Academy of Engineering (U.K.) and an Invitation Fellow of Japan Society for the Promotion of Science. For his contributions, he has won three prestigious awards of National Science and Technology Progress, the 2002 Technological Science Progress Award from the Ho Leung Ho Lee Foundation, the 2007 Industry Award for Excellence in Transitional Control Research from the IEEE Control Systems Society, and the 2010 Yang Jia-Chi Science and Technology Award from the Chinese Association of Automation.
Title: CPS Driven Control System
Abstract: China has abundance of mineral resources such as magnesite, hematite and bauxite, which constitute a key component of its economy. The relatively low grade, and the widely varying and complex compositions of the raw extracts, however, pose difficult processing challenges including specialized equipment with excessive energy demands. The energy intensive furnaces together with widely uncertain features of the extracts form hybrid complexities of the system, where the existing modeling, optimization and control methods have met only limited success. The recently developed Cyber-Physical System (CPS) provides a new key for us to address these challenges. The idea is to make the control system of energy intensive equipment into a CPS, which will lead to a CPS driven control system.This talk presents the syntheses and implementation of a CPS driven control system for energy-intensive equipment under the framework of CPS. The proposed CPS driven control system consists of four main functions: (I) setpoint control; (II) tracking control; (III) self-optimized tuning; and (IV) remote and mobile monitoring for operating condition. The key in realizing the above functions is the integrated optimal operational control methods to implement setpoint control, tracking control and self-optimized tuning together seamlessly. This talk introduces the integrated optimal operational control methods we proposed.
C. L. Philip Chen, Professor, The University of Macau, China
Biography: Prof. Chen received his M.S degree from the University of Michigan, Ann Arbor, Michigan, U.S.A. in 1985, and his Ph.D. degree from Purdue University, West Lafayette, Indiana, U.S.A., in 1988, both degrees in Electrical Engineering. He was with Wright State University, Department of Computer Science and Engineering, from 1989 to 2002 as an assistant, an associate and a full professor before he joined the University of Texas, San Antonio, where he has been a Professor and Chair of the Department of Electrical and Computer Engineering, the Associate Dean for Research and Graduate Studies of the College of Engineering. Since 2010, he is Chair Professor and the Dean of Faculty of Science and Technology, University of Macau. He is a Fellow of the IEEE, AAAS and IAPR. He was the President of IEEE Systems, Man, and Cybernetics Society (SMCS) (2012-2013), where he also has been a distinguished lecturer for many years and received Outstanding Service Awards 4 times. His research interests and projects include computer networking, intelligent systems, neural networks, fuzzy-neural systems and robotics.
Kenzo Nonami, Professor, Chiba University, Japan
Biography: Prof. Kenzo Nonami received his MS degree and Ph.D. degree in Mechanical Engineering in 1976 and 1979 respectively, from Tokyo Metropolitan University. He joined Chiba University in 1979 as a Research Associate, Associate Professor from 1988 to 1994. Since 1994, he has been a full professor in Department of Mechanical Engineering and Department of Electronics and Mechanical Engineering at Chiba University. In 2004, Dr. Kenzo Nonami was a vice dean of faculty of Engineering. Also, he has carried out a research in NASA in USA during two years from 1985 to 1988. Now, Dr. Nonami is a vice president from April, 2008. His recent research interests are fully autonomous unmanned small-scale helicopter, micro air vehicle, quad tilt wing unmanned aerial vehicle, land mine detection robots with multi-functional arm, walking machines, master slave manipulator and dual manipulator hand system, unmanned autonomous boats, flywheel energy storage system with active magnetic bearing powered electric vehicle, robust and nonlinear control, control applications.
Title: Current Status of world Industrial Drones and Urgent Technical Issues
Abstract: In this presentation, I first overlook the current state of utilization of world industrial drones and the forefront including world UAS aviation reguration. Next, I would like to consider the technical issues in each field and discuss how to overcome the problem.
I-Ming Chen, Professor, Nanyang Technological University, Singapore
Biography: Prof. I-Ming Chen is an internationally renowned robotics researcher. He received the B.S. degree from National Taiwan University in 1986, and M.S. and Ph.D. degrees from California Institute of Technology, Pasadena, CA in 1989 and 1994 respectively. He has been with the School of Mechanical and Aerospace Engineering of Nanyang Technological University (NTU) in Singapore since 1995. He is Director of Robotics Research Centre in NTU from 2013 to 2017. He is a member of the Robotics Task Force 2014 under the National Research Foundation which is responsible for Singapore’s strategic R&D plan in future robotics. His research interests are in logistics and construction robots, wearable devices, human-robot interaction and industrial automation. Professor Chen is Fellow of IEEE and Fellow of ASME, General Chairman of 2017 IEEE International Conference on Robotics and Automation (ICRA 2017) in Singapore. He is also CEO of Transforma Robotics Pte Ltd developing robots for construction industry and CTO of Hand Plus Robotics Pte Ltd developing robotics and AI solutions for logistics and manufacturing industry. He will be the Editor-in-chief for the tier 1 journal: IEEE/ASME Transactions on Mechatronics starting from 2020.
Title: Robotic Perception and Learning for Intelligent Manufacturing and Warehouse Automation
Abstract: Industry robot manipulators have been invented for nearly 50 years. In the past, such robot manipulators are used in mass manufacturing lines and programmed manually by engineers. However, as modern manufacturing moves into low volume high mix products in a very tight schedule, it becomes very challenge to program the robots to handle large variety of products and parts and also to make changes to the manufacturing lines in a very short time. With advancement in 3D machine vision, machine learning methods and fast computing power, there is an emerging trend to put 3D perception device, machine learning technique into industry robots to make them “smart’ enough to handle a variety of products in a changing environment. In this speech, we will discuss how 3D perception systems and machine learning techniques are used in manufacturing scenarios like intelligent masking/taping for component maintenance, bi-manual manipulation for parts assembly and handling, intelligent spray painting. We will use also Amazon Robotics Challenge and DHL Robotics Challenge as examples to look at the integration of 3D perception, machine learning and robot motion planning in warehouse automation to handle the item-picking process.
Kwang-Joon Yoon, Professor, Konkuk University, Korea
Biography: Prof. Kwang-Joon Yoon is a professor of Aerospace Engineering, director of Smart Drone Center. He received his doctoral degree in Aeronautics & Astronautics Engineering from Purdue University, USA, master and bachelor degree in Aerospace Engineering from Seoul National University, Korea. Professor Yoon leads a number of research projects with funding from Korea government agencies and industries. Dr. Yoon received several awards including the world’s smallest Micro Aerial Vehicle Award in 1995 from International MAV competition. His current research interests are development of small UAV with fixed wing, rotary wing and flapping wing, smart structure and material. He was the general chair of “International Conference on Emerging System Technology,” 2005, Seoul, Korea He was the president of ISIUS (Int. Society of Unmanned Intelligence System) during 2016-7 and is a senior member of National Academy of Engineering of Korea. He published more than 140 peer-reviewed journal, conference proceedings papers and patents.
Title: Development of small winged drone for missions in amphibious environment
Abstract: In recent years, many countries are developing military and civil unmanned aerial vehicle (UAV) for various utilization in many fields. Multi-copter system has been specifically developed for UAV because it has a lot of advantages due to its simple automatic propeller control system. This lecture introduces the design/ manufacturing/ flight test of winged drone with 4 propeller and 2 tilt propeller system for missions in amphibious environment. Conceptual system design has performed to have VTOL (vertical take-off and landing) function and tilt propeller system to fly with cruse speed more than 100km/h. MTOW (maximum take-off weight). The total weight is less than 10kg and maximum size is less than 2.0m. A drone with wings was chosen to increase energy efficiency and to withstand strong wind environment. Automatic flight control system and landing system on ground and water surface also designed and verified through flight test. Dual floater system with small wheel was designed for missions in amphibious environment. The developed winged drone can be used for various missions, such as military application, fireman, policeman, monitoring of disaster, delivery service.