Keynote Speaker One
Intelligent Manufacturing and 3D Printing
Member of the Chinese Academy of Engineering
Dean of Mechanic School
Xi’an Jiaotong University
Professor LU Binheng,member of the Chinese Academy of Engineering, now is the dean of Mechanic Schoolof Xi’an Jiaotong University, doctoral supervisor. He also has many othertitles, such as, director of the National Rapid Manufacturing Engineering Center,director of the Center for High-end Manufacturing Equipment, leader of project”basic research of nano-meter manufacturing” guiding team, CTO of “high-gradeCNC machine tool technology” project, which is a key State science andtechnology project, and vice President of the Chinese Mechanical Engineering Societyand Association of Machinery Manufacturing process, etc.
Professor LU is anexpert in AM technology, whose researches involve 3D printing technology, numericalcontrolling, micro-nano manufacturing technology and Bio-Manufacturing, etc.
In recent years, hehas taken charge of and participated in many research tasks and projects, suchas the 9th and 10th “Five-year Education RevitalizationPlan”, 863 project, 973 project, and many other projects held by NSFC. Theseyears, LU has published more than 400 papers, among which 18 were published inSCI, 90 in EI. He has also achieved about 20 invention patents.
And many of hisachievements have become industrialized, getting widespread use.
1. 1988, “Excellent Doctoral Dissertation” in Xi’an JiaotongUniversity.
2. 1991, “Excellent Doctor with Outstanding Contributions” honor,given by the State Board of Education, Academic DegreesCommittee of the State Council.
3. 2000, Second National Prize for Progress in Science and Technology.
4. 2001, National Labor Medal Honor, The sixth Chiang foundation ofscience and technology achievement award in Hong Kong and honor of “outstandingcontributor of national key research project of the ninth five-year plan”.
5. 2005, was elected as the academician of the China Academyof Engineering abd awarded the Second Prize of National Science, Technology and Invention.
Summary of the talk
Keynote Speaker Two
Mechanism Design and Real Time Control of Parallel-Parallel 6-Legged Robots
School of Mechanical Engineering
Shanghai Jiao Tong University
800 Dong Chuan Road, Shanghai, China，200240
Website at http:// gf.sjtu.edu.cn
Feng Gao was born on Dec. 21, 1956 in Jiujiang City of Jiangxi Provence, P. R. of China. He got his Ph.D. in mechanical engineering from the Beijing University of Aeronautics and Astronautics in 1991 and his Master in mechanical engineering from the Northeast Heavy Machinery Institute, China in 1982. From 1976 to 1979, he was a student in mechanical engineering at the Northeast Heavy Machinery Institute, China. From 1995 to 1997, he was a postdoctoral research associate in the School of Engineering Science at Simon Fraser University, Canada.
He was an assistant professor in mechanical engineering at the Northeast Heavy Machinery Institute, Qiqihaer, China from 1982 to 1985. He was an assistant and associate professor in mechanical engineering at Yanshan University, Qinhuangdao, China from 1986 to 1994. He was a full professor at Yanshan University from 1995 to 1999. He served first as Vice President then President of Hebei University of Technology from 2000 to 2004. Since 2004, he has been a full professor at Shanghai Jiao Tong University. From 2010 to 2014, he chaired the State Key Laboratory of Mechanical Systems and Vibration at Shanghai Jiao Tong University, and he also is the head of the Heavy Machinery Institute of Fundamental Research for the industrial corporation of the China First Heavy Industry Company.
He has been serving as an Associate Editor of Mechanism and Machine Theory and the ASME Journal of Mechanisms and Robotics since 2008 and the ASME Journal of Mechanical Design since 2012, and the General Member of the ASME Mechanisms and Robotics Committee since 2012. He gave the Keynote Speeches on the conferences of the ASME 2012 and IFToMM 2015, respectively. He won the 2013 China National Natural Science Award because of his contributions in parallel mechanism design and the 8 items of awards from the provincial science and technology invention prizes in China. 2014. Dr. Gao won 2014 ASME Leonardo Da Vinci Award for his invention of parallel manipulators.
His chief research domain is the parallel robots. The major achievements obtained include the design theory, invention and application of the parallel robots. In the theory aspect, he proposed the GF Set Theory for the type synthesis of parallel robotic mechanisms, the evaluating performance criteria and the physical model of the solution space for dimensional designing of parallel robotic mechanisms. In the application aspect, he Invented and Designed many kinds of the robots and machines with parallel mechanisms for heavy load applications He published 3 books and 288 papers. The 96 invention patents of China were authorized and the 35 invention patents of China were applied.
Summary of the talk
Research on the walking robots has been one of key topics in robotics for a long time. In recent years, many legged robots were developed in the world, which of them achieved great progress and received much attention from the robotic field. For the control of legged robots, one of the most important challenging issues is the human robot Interaction for the real time control of the legged robots. This speech will introduce our research on both mechanism design and real time control for the parallel-parallel 6-legged robots related to the human robot Interaction, which include the following issues: design process of type synthesis for legged robots by GF set theory, real-time operating system for legged robots, hexapod robot driven by motors: with 3km/h speed., hexapod robot walking on sandy slope, hexapod robot with 500kg payload, hexapod robot with safe riding capability, walking based on force sensing without force sensors., dynamic gait based on active compliant approach, reflection by human-robot interaction based on force sensing, control of 6-legged robots based on vision, obstacle avoidance with both vision and F/T sensor, escaping based on virtual obstacle memory, obstacle crossing based on vision, step climbing based on vision, walking upstairs by vision & downstairs by terrain memory, human-robot interactive assembly based on F/T sensor, manufacturing based on F/T sensor, locked door opening based on F/T sensor for legged robots, and so on.
Keynote Speaker Three
Passive and Active Control for Rehabilitation Robots
Dr. Zeng-Guang Hou
Professor & Deputy Director
State Key Laboratory of Management & Control for Complex Systems
Institute of Automation
The Chinese Academy of Sciences
P.O. Box 2728, Beijing 100190, CHINA
Zeng-Guang Hou (SM’09) received the BE and ME degrees in electrical engineering from Yanshan University (formerly North-East Heavy Machinery Institute), Qinhuangdao, China, in 1991 and 1993, respectively, and the Ph.D. degree in electrical engineering from Beijing Institute of Technology, Beijing, China, in 1997. He is currently a full professor and deputy director of the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences.
Dr. Hou’s research interests include robotics and intelligent control systems. He has been doing research on rehabilitation robots and vascular intervention robots for minimally invasive surgery. He was an associate editor of the IEEE Computational Intelligence Magazine and IEEE Transactions on Neural Networks. He is currently the Chair of Neural Network Technical Committee (NNTC) of Computational Intelligence Society. Dr. Hou is an Associate Editor of the IEEE Transactions on Cybernetics, and ACTA Automatica Sinica, etc. and an Editorial Board Member of Neural Networks.
He is a recipient of the Distinguished Young Scholar Fund of the National Natural Science Foundation of China in 2012 and the Outstanding Paper Award of IEEE Transactions on Neural Networks in 2013.
Summary of the talk
Stroke, traumatic brain injury (TBI), and spinal cord injury (SCI) are most important reasons that cause nervous system damage, and thus lead to physical disabilities. Because of long process of nervous system recovery, the patients would suffer permanent disability without effective treatment and rehabilitation. For traditional exercise therapy, most hospitals still use simple cycling devices for passive training which is very limited because of single training mode and fixed training trajectory of such machines. Since the training process for patients of neurological damage is repetitive, it is expected to improve the current status of rehabilitation by using robotics, and also it would accelerate the rehabilitation process for patients and reduce therapists’ labor intensity. We will mainly address the system design of a reclining type rehabilitation robot for lower limbs, and also studied the passive training, active training and assistance training control methods for the needs of neurological rehabilitation and motor function of lower limbs for SCI or stroke patients.