Prof. Shuzhi Sam Ge
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.
Title of Speech: Robust Adaptive Learning Control of a Floatel in Harsh Environment
Abstract: Offshore operations have been moving towards ultra-deep waters, more challenging environment and arctic areas where richer resources are detected and to be mined. One of the unavoidable challenge we have to cope with is the large amount of shielding effects due to Floating Production Storage and Offloading (FPSO) in the vicinity. Safety and smoothness of operations between floatel and FPSO, uptime and lifespan of gangway are severely affected due to shielding effects. Once the rigid gangway is connected between the floatel and FPSO, low frequency yaw motions of the FPSO due to wave/wind disturbance will exert a strong force to the gangway if no control is introduced to the floatel system and keep the two bodies in relative motion and orientation. We are not only interested in designing control systems for the floatel system which is highly robust and adaptive to the environmental impacts while maintaining/increasing the uptime of operations between the floatel and FPSO, but also to provide guidelines in designing the next generation floatel for the industry. The control systems should be able to learn the nominal shield effects, adapt to changes effects, and robust to uncertainties. As the problems are directly addressing technical issues industry faces, it is expected to guarantee the safety and smoothness of operation in calm/moderate sea state, and at the same time help the deepwater system remain competitive and productive in harsh environment.
Prof. Sri Krishnan
Ryerson University, Canada
Biography: Dr. Sri Krishnan is a dedicated academic leader, an accomplished researcher and an experienced administrator. He joined Ryerson in 1999 as an assistant professor in Electrical and Computer Engineering, and has held the positions of assistant chair, graduate program director and chair. He was appointed associate dean (research, development and graduate programs) in 2011, and took on the role of interim dean in 2013-2014. Dr. Krishnan was instrumental in founding Ryerson’s undergraduate degree program in biomedical engineering, the first of its kind in Canada. He oversaw the launch of several new program options in electrical engineering, and fostered numerous international collaborations and industry partnerships. Under his direction, the PhD program in electrical and computer engineering was launched, and he played a pivotal role in establishing the faculty’s Research and Innovation Office (RiO). Dr. Krishnan is one of Canada’s leaders in biomedical research, with expertise in biomedical signal processing. He holds one US patent and has published nearly 245 papers in refereed journals and conferences. An active collaborator with clinicians, industries and researchers, Dr. Krishnan has attracted significant research funding from many of Canada’s most prominent agencies, and holds a prestigious Canada Research Chair in Biomedical Signal Analysis. In addition, he is actively engaged in graduate student training and supervision. He holds a BE in Electronics and Communication Engineering from Anna University in Chennai, India, and an MSc and PhD in Electrical and Computer Engineering from the University of Calgary. Dr. Krishnan is a Fellow of the Canadian Academy of Engineering, a registered Professional Engineer in Ontario. Dr. Krishnan has been the recipient of several prestigious awards including the Ryerson-Sarwan Sahota Distinguished Scholar Award in 2011, the Ontario Research Innovation Award from Biodiscovery Toronto in 2008, and the Canadian Engineers' Young Engineer Achievement Award from Engineers’ Canada in 2007.
Title of Speech: Internet of Things and Automation
Abstract: With Internet of Things (IoT) more than 50 billion objects will be connected to the Internet in the next 5-10 years. IoT will bring massive advantage towards automation in many vertical sectors such as energy, infrastructure, transportation, health, and industrial informatics. This talk will cover signal sensing, approaches for pre-processing (denoising, detrending and artifact removals), techniques for representing and understanding variability and variety in data, and adapting them to various tele-monitoring scenarios. Experimental results and suggestions on how these information processing and telecommunications methods could be applied in the context of Internet of Things for "quantified" life and day to day living will be covered in some detail.
Assoc. Prof. Dr. Ratchatin Chancharoen
Chulalongkorn University, Thailand
Biography: Dr. Ratchatin Chancharoen is currently an Associate Professor at the Mechanical Engineering Department, Chulalongkorn University, Thailand and a program committee in Automotive Design and Manufacturing Engineering (ADME) program (international program) and also an ILO (Industrial Liaison Officer) for Industrial Liaison Program at Chulalongkorn University. He also serves as a program committee (in Mechatronics/Mechanical program) at some private universities in Thailand. He received his BS degree in mechanical engineering from Chulalongkorn University in 1991, MS degree in mechanical engineering from Oregon State University in 1994, and PhD degree in mechanical engineering from Chulalongkorn University in 2000. Dr. Ratchatin Chancharoen has twenty years experience in robotics research including both manipulators and mobile robots and ten years in teaching both Robotics and Mechatronics at the university level. During these years, he has designed and built more than twenty robots in various configurations and published more than 20 research papers and one text book entitled “Linear Control Systems” (in Thai). He is principal investigator and co-investigator of a number of research grants in robotics and also the manager of a number of industrial projects in design and control. His major research activities involve tele-operation and control of robotics manipulators and mobile robots using various kinds of sensors, especially force and vision. His current research is the design a telerobot, a new type of robot, to work closely with human to do a higher level of tasks. The telerobot is designed with lighter frame, less power consumption, small footprint controller, and higher level of intelligence, compared to the industrial robot, to safely work in our working space. This type of robot will be populated in the near future as more complex tasks are demanded. His main research interests are in the field of Robotics and Mechatronics including new parallel robot configuration, new hardware processor, electronics, control algorithm, and intelligence.
Title of Speech: Rehabilitation Robots for Functional Rehabilitation in Stroke Patients
(Chulalongkorn University Rehabilitation Robotic Exoskeleton system)
is the project supported by National Research University Project,
Office of Higher Education Commission and Chulalongkorn University.
We have been developing many types of rehabilitation robot for
neurological rehabilitation, especially stroke, such as 4-axis
upper-limb, lower-limb, 3-axis wrist and hand-finger, not just
exoskeleton type but also end-effector type of rehabilitation robots
are also explored extensively. This presentation will present our
rehabilitation robots not just engineering points of view but also
real training results or intensive rehabilitation based on our
robotic systems. Robot-assisted therapy is a promising method for
promoting motor recovery in patient with neurological deficit. Our
main mission is to increase effort to make the integration of
robotic control for medical applications.
Two main control strategies: assistive-resistive mode, based on impedance force control, for a patient who has some difficulty in moving his hand or physically weak persons. An impedance model, based on the concept of virtual wall, has been purposed in the torque control scheme. The resistive mode for a patient who want to improve his hand motion or after finishing the assistive-resistive operation training program. Each jointed of the exoskeleton arm is actuated by brushless DC servomotor. To simplify torque measurement, each joint torques in the feedback loop are obtained by measuring the input current of the motor drivers multiply by the motors torque constant. Otherwise, sophisticate procedure needed, if we measure current in the armature coil. Both operation modes have been tested with patients, the feedback from patients and medical doctors are very positive.
We developed many types type of rehabilitation robots based on the control strategies, one of them is call CUREs. This rehabilitation robot is for upper extremity rehabilitation. Five subacute stroke patients participated in this pilot study. All patients had severe upper extremity weakness (Brunnstrom stage I and II, Fugl–Meyer Assessment Upper Extremity score, motor function, are from 4 to 10). They participated in 30 min of conventional upper extremity training and 30 min of robotic training, 5 days per week for 2 consecutive weeks. The Fugl–Meyer Assessment Upper Extremity Scale was improved after 2 weeks training in all participants. However, the Motor Assessment Scale was not changed. In the future, we plan to conduct a 4 week randomized–controlled trial study to compare the rehabilitation outcome between CUREs robot with conventional therapy in stroke patient.