ICoIAS' 2021 Distinguished Speakers

Prof. Liang Yan | Beihang University, China

严亮教授 - 北京航空航天大学

 

Biography: Liang Yan is the Changjiang distinguished professor of Beihang University. His research interest is mainly on high-performance actuation and its applications in robotics and aerospace engineering. He has completed research projects funded by the Natural Science Foundation and the ministry of Science and Technology of China. The research achievement has been published on top journals and refereed conference, such TMech, TIE, TASE and etc. He is the Electrical Machine Committee Member of IEEE Industrial Electronics Society, the Robotics and Mechatronics Committee Member of IFToMM, and the Mechatronics Committee Member of Chinese Aeronautics Society.

Title of Speech: High-performance electromagnetic actuation technology for aerospace applications 

Abstract: With the progress of aerospace technology, the conflict between the output-performance improvement and the structure compactness becomes significant. The major challenge to solve this problem is the utilization rate of electromagnetic field in three-dimensional (3D) space. So far, 2D magnet arrays are widely employed for electromagnetic actuation. The low utilization rate of magnetic field avoidably constrains the improvement of system output performance. Therefore, the improvement of utilization rate of magnetic field and its intensity is the key solution to increase the actuation capability. This talk will mainly focus on electromagnetic actuation technology, and introduce the operating principle of complex 3D space magnetic field of actuators. 

Prof. Yimin Zhou | Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

周翊民教授 - 中国科学院深圳先进技术研究院

 

Biography: Yimin Zhou, DPhil, Professor, Graduated from the Department of Engineering Science, University of Oxford in 2008, then she worked as an Research Associate at the Department of Electrical, Electronic and System Engineering at Loughborough University. In 2011, she joined Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences working as an Associate Professor. In 2015, she was awarded as Shenzhen's overseas high-level talent. Till now, she has been granted more than 15 million yuan of research funds, and she has published more than 100 SCI / EI articles and 2 English Monographs. Her research interests include: Control Theory and Engineering, Neural network and machine learning, image processing, fault diagnosis and tolerant control, smart grid etc..

Title of Speech: Artificial Intelligence and Robotics in Coal Mine Industry 

Abstract: With the rapid development of artificial intelligence (AI) technology, AI has become extensively applied in the coal industry. The urgent demand for robot substitution in mining production has accelerated the industrial application of coal mine robots. The application of AI technology in coal mine robot are analyzed and explored, the main research content of AI technology and its application in industry are explained, while the application status of AI in the coal industry is also elaborated. This project will explore the theory of autonomous learning of robot operation and develop the basic applied technology, which has important scientific significance, but also has important strategic significance to realize the efficient and safe production of coal industry. 

Prof. Guilin YANG | Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, China

杨桂林教授 - 中国科学院宁波工业技术研究院先进制造所

 

Biography: Dr Guilin Yang received his B. Eng degree and M. Eng degree from Jilin University, China, in 1985 and 1988 respectively, and Ph.D. degree from Nanyang Technological University in 1999, all in Mechanical Engineering. He had been with the Singapore Institute of Manufacturing Technology (SIMTech), Singapore, as a senior scientist and the manager of the Mechatronics Group. He is currently the deputy president of CNITECH and the director of Zhejiang Key Lab of Robotics and Intelligent Manufacturing Equipment Technology. His research interests cover a broad area of robotics and automation such as precision electromagnetic actuators, compliant mechanisms, parallel-kinematics machines, cable-driven robots, and robotic automation systems. He has published over 300 technical papers in referred journals and conference proceedings, authored 3 books, and filed 90 patents. He was a recipient of 2014 R&D 100 Awards.

Title of Speech: Bio-inspired Cable-driven Robotic Manipulators 

Abstract: Abstract: A bio-inspired Cable-Driven Robotic Manipulator (CDRM) possesses a number of advantages over the conventional articulated robotic manipulators, such as lightweight structures, variable stiffness, and intrinsically safe for human-robot interaction. As such, the bio-inspired CDRM can be employed for not only industrial applications but also social services. In this talk, a modular design approach is employed in order to facilitate the development of CDRMs. Cable-driven joint modules with different DOFs have been proposed so that a variety of modular CDRMs can be constructed to cater for different application requirements. The critical design analysis issues pertaining to the modular CDRMs, such as the cable-routing schemes, kinematic modeling, force-closure analysis, tension distribution, and stiffness regulation issues will be presented. Future research directions towards flexible and continuum CDRMs will be also discussed. 

Prof. Xiaodong Zhang | Xi’an Jiaotong University, China

张小栋教授 - 西安交通大学

 

Biography: Professor Xiaodong Zhang received the B.E. degree in Energy and Power Engineering from Xi’an Jiaotong University, Xi’an, China, in 1989, and the M.E. and Ph.D. degree in Mechanics from Xi’an Jiaotong University, Xi’an, China, in 1992 and 1996, respectively. From 1996 to 2010, he was a Teacher, and in 1999 promoted as an Associate Professor in school of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China. Since 2011 he has been a Professor, and now is a deputy director, Institute of Robotics and Intelligent Systems with school of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China.
Professor Xiaodong Zhang was a Visiting Scholar in Department of Mechanical and Medical Engineering, University of Bradford, UK, about three months from 2001 to 2002. He was a Researcher in School of Mechanical Engineering, Sungkyunkwan University, Korea, about two years from 2003 to 2005. He was a visiting professor in the Lab on Intelligent robotics, Michigan State University, USA, about one month in November, 2010, and in the Lab on the Control and Intelligent Systems Engineering, University of Hull, UK, about 3 weeks in October, 2011, and in School of Industrial and Systems Engineering, Georgia Institute of Technology, USA, about 2 weeks in July, 2017, and in the Lab on Mechatronics and Intelligent robotics, University of Essex, UK, about 6 months from 2019 to 2020, respectively. Furthermore, he was a lecture professor funded by K. C. Wong Education Foundation in Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, about 2 weeks in December, 2018.
Professor Xiaodong Zhang has published more than 100 papers, include 30 papers indexed by SCI & about 50 papers indexed by EI, and won 20 Patents of invention & 10 Design Patents, and served as an Associate Editor of Journal of Mechanical Science and Technology & Editor of Intelligent Service Robotics. He won best paper award of the 2008 International Conference on Rehabilitation in China, best session paper award of CCCT 2010 in USA, best application paper award of IEEE URAI 2016 in China, outstanding paper award of IEEE URAI 2017 in Korea, finalist best paper award of IEEE CYBER 2019 in China, respectively. He served the IEEE NEMS 2015 as the local arrangement chair, the IEEE URAI 2016 & URAI 2017 as a program co-chair, and the IEEE CYBER 2020 as the General Chair. His recent research interests are Robotics and Intelligent System, Bio-mechatronics technology, EEG/EMG signal processing and its application on robotics, intelligent measurement and control technology, etc.

Title of Speech: Research on the EMG-based Fine Perception and Human-Machine Interactive Control Methods for Lower Limb Rehabilitation Training Robot 

Abstract: With the development of robot technologies, traditional human assisted rehabilitation training has been gradually replaced by robot assisted rehabilitation training which has the advantages of movement controllable, high repetition, high training density and so on. However, due to the lack of an effective human-machine interaction interface as well as an interactive control technique, the rehabilitation robot which can provide a safe, comfortable and natural training environment is fewer. In addition, how to improve the patients’ active participation in training process is always a technical problem and need to be solved urgently.
The bioelectric-based human-machine interface established a direct communication and control channel between the human and the collaborative object (robot, et al.) as well as the environment and it provides new ideas for the study of human-machine interaction and interactive control of lower limb rehabilitation training robot. In order to improve the human-machine interaction performance and achieve synchronous active body weight supported treadmill training, surface EMG based fine movement perception and interactive control methods are presented in this talk as follows.
1) A method for surface EMG based human’s gait events fast recognition
2) A method of surface EMG decoding for continuous joint angles of lower limb
3) A method for quantitative prediction of human’s active joint torque
4) The interactive control methods of lower limb rehabilitation training robot based on surface EMG
Finally, the experimental system of lower limb rehabilitation training robot is designed, and the servo motor type determination and the control system design are discussed detailed. Based on this, the trajectory tracking control experiment without load and the normal human passive walking control experiment are carried out. The experimental results validate the precision of structure design and the accuracy of the control approach.  

Prof. Xianping Fu | Dalian Maritime University, China

付先平教授 - 大连海事大学

 

Biography: Xianping Fu,Professor in Information Science and Technology College, Dalian Maritime University, China. He received the Ph.D. degree in communication and information system from Dalian Maritime University, in 2005. From 2007 to 2008 he was a Postdoctoral in Tsinghua University, China, and from 2008 to 2009 he was a Postdoctoral Fellow at Schepens Eye Research Institute, Harvard Medical School, Boston, MA. His research interests include underwater robot, perception of natural scenes in engineering systems, image/video processing, and object recognition. He is a leading talent in Dalian, and head of the high-level innovation team of underwater robots in Liaoning Province. He is currently a standing Committee member of the Professional Committee on Intelligent Robots, member of the Multimedia, Human-Computer Interaction, Computer Vision Special Committee of the CCF, and the Executive Director of Dalian Computer Society. He has published more than 80 papers, and applied more than 30 patents. He won the RPB International Scholars Research Award, the 7th International Invention Expo Gold Award and many other awards.

Title of Speech: Underwater Image Processing and Fishing Robot 

Abstract: Visual perception and target grabbing of underwater fishing robots
In recent years, with the development of robots and drones, the research on underwater fishing robot platforms, motion, and control attracts considerable attention, but the visual perception ability, autonomous grasping ability and autonomous recycle of underwater robots are still the challenging problems that the underwater robot needs to solve urgently. This report mainly introduces our explorations and discoveries for accurate perception and recognition of underwater small targets, autonomous grasping, prototype development of underwater fishing robots, etc.