2020 3rd International Conference on Mechatronics, Robotics and Automation (ICMRA)

第三届机电、机器人与自动化国际会议

Shanghai, China | October 16-18, 2020 | 中国 上海 | 10月16-18日

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Keynote Speakers

Prof. John Billingsley

IET Fellow, Mechatronic Engineering at the University of Southern Queensland, Australia

Dr John Billingsley is Professor of Mechatronic Engineering at the University of Southern Queensland, Australia. He is a Fellow of the IET (UK), past Fellow of Engineers Australia as well as a Senior Member of the IEEE (USA). Professor Billingsley was one of the founders of Australia’s National Centre for Engineering in Agriculture (NCEA), recently renamed the Centre for Agricultural Engineering. He has published widely on control theory and robotics. As a Cambridge Mathematics Scholar, John completed the mathematics tripos in two years, then spent his third year studying electronics. Following a Graduate Apprenticeship, he designed algorithms and electronics for aircraft control systems. He then returned to Cambridge to complete his doctoral research on Predictive Control. He remained in Cambridge as a Fellow of Sidney Sussex College. Eight years later he moved to a Readership at Portsmouth Polytechnic, now Portsmouth University and later became Professor of Robotics. He led groups researching the ‘Craftsman Robot’ and walking robots. He helped found companies designing embedded electronics for domestic appliances and nuclear test equipment. In 1992, John moved to Toowoomba, Australia, where he applied machine vision to precision tractor guidance. He co-founded the National Centre for Engineering in Agriculture of the University of Southern Queensland. This year he was joint organiser of the twenty-sixth annual conference on Mechatronics and Machine Vision in Practice, a series which he inaugurated in 1994.


Speech Title: Mechawhat?  The acceptance of mechatronics

Prof. Gang Feng

IEEE Fellow, City University of Hong Kong

Gang Feng received the B.Eng and M.Eng. degrees in Automatic Control from Nanjing Aeronautical Institute, China in 1982 and in 1984 respectively, and the Ph.D. degree in Electrical Engineering from the University of Melbourne, Australia in 1992.He has been with City University of Hong Kong since 2000 where he is now a Chair Professor of Mechatronic Engineering. He was also a ChangJiang Chair Professor at Nanjing University of Science and Technology, awarded by Ministry of Education, China. He was lecturer/senior lecturer at School of Electrical Engineering, University of New South Wales, Australia, 1992-1999. He was awarded an Alexander von Humboldt Fellowship in 1997-1998, and the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2007. He has authored/co-authored over 200 international journal papers including over 90 in IEEE Transactions and numerous conference papers. His current research interests include intelligent systems & control, networked systems & control, and multi-agent systems & control. Prof. Feng is an IEEE Fellow, an associate editor of IEEE Transactions on Fuzzy Systems, and was an associate editor of IEEE Transactions on Automatic Control, IEEE Transactions on Systems, Man & Cybernetics, Part C, Mechatronics, and Journal of Control Theory and Applications.

 

Speech Title: Optimal coverage control of heterogeneous mobile sensor networks

Abstract: The coverage control problem of a network of heterogeneous mobile sensors is addressed in this talk, where the goal is to minimize a coverage cost function which is defined to be the largest arrival time from the mobile sensor network to the points on a circle. A necessary and sufficient condition for the global minimization of the coverage cost function is firstly derived. Then, distributed coverage control schemes with input saturation are developed to drive the sensors to the optimal configuration such that the necessary and sufficient condition is satisfied. Under the distributed coverage control schemes, the mobile sensors’ spatial order on the circle is preserved throughout the network’s evolution and thus collision between mobile sensors is avoided. Finally, simulation results are presented to illustrate the effectiveness of the proposed distributed control schemes.

 

Prof. Mingcong Deng

Tokyo University of Agriculture and Technology, Japan

Prof. Mingcong Deng is a Professor of Tokyo University of Agriculture and Technology, Japan. He received his BS and MS in Automatic Control from Northeastern University, China, and PhD in Systems Science from Kumamoto University, Japan, in 1997. From 1997.04 to 2010.09, he was with Kumamoto University; University of Exeter, UK; NTT Communication Science Laboratories; Okayama University. Prof. Deng is a member of SICE, ISCIE, IEICE, JSME, IEEJ and the IEEE(SM). He specializes in three complementary areas: Operator based nonlinear fault detection and fault tolerant control system design; System design on thermoelectric conversion elements; Applications on smart material actuators. Prof. Deng has over 550 publications including 170 journal papers, 15 books (or chapters), in peer reviewed journals including IEEE Transactions, IEEE Press (for books) and other top tier outlets. He serves as a chief editor for International Journal of Advanced Mechatronic Systems, The Global Journal of Technology and Optimization, and associate editors of 6 international journals, including with IEEE journal. Prof. Deng is a co-chair of agricultural robotics and automation technical committee, IEEE Robotics and Automation Society; also a chair of the environmental sensing, networking, and decision making technical committee, IEEE SMC Society. He was the recipient of 2014 Meritorious Services Award of IEEE SMC Society and 2019 Meritorious Services Award of IEEE SMC Society.

 

Speech Title: Learning-Based Micro Hand Modeling & Control

Abstract: Soft actuators have been getting increased attention with developing of medical fields etc. A miniature pneumatic bending rubber actuator is one of the soft actuators. The actuator has the bellows shape and is made of silicone rubbers. However, to control the actuator and make its model accurately were difficult because the actuator has nonlinearity. Moreover, the actuator should be controlled without sensor because its expected application is medical field, especially, in operation. In general, a control system based on operator theory can apply for nonlinear systems with uncertainties, and passivity for realizing adaptive control is an important issue in control engineering. Meanwhile, support vector regression (SVR) has been utilized for classification and regression analysis, where the design parameter of SVR is optimized by using particle swarm optimization (PSO). In this talk, operator-based robust nonlinear adaptive control system is discussed. In order to realize sensorless control, PSO-SVR-based moving estimation with generalized Gaussian distribution (GGD) kernel is employed. That is, operator-based sensorless robust adaptive nonlinear control system considering passivity for the above actuator and PSO-SVR-based moving estimation with GGD kernel is shown. Further, current results on modeling by ant colony optimization (ACO)-MSVR for 3D actuator are shown. Finally, some simulations and experimental results are introduced.

 

 

 

Prof. Ji Wang

Ningbo University, China

Prof. Ji Wang has been a Qianjiang Fellow of Zhejiang Province at Ningbo University since 2002. Professor Ji Wang is the founding director of the Piezoelectric Device Laboratory, which is a designated Key Laboratory of City of Ningbo. Professor Ji Wang was employed at SaRonix, Menlo Park, CA, as a senior engineer from 2001 to 2002; NetFront Communications, Sunnyvale, CA, as senior engineer and manager from 1999 to 2001; Epson Palo Alto Laboratory, Palo Alto, CA, as Senior Member of Technical Staff from 1995 to 1999. Professor Ji Wang also held visiting positions at Chiba University, University of Nebraska-Lincoln, and Argonne National Laboratory. He received his PhD and Master degrees from Princeton University in 1996 and 1993 and bachelor from Gansu University of Technology in 1983. Professor Wang has been working on acoustic waves in piezoelectric solids for resonator design and analysis in his research with US and Chinese patents and over 120 journal papers. Professor Wang has been a member of many international conference committees and currently serving the IEEE UFFC Technical Program Committees of the Frequency Control and Ultrasonics Symposia, the IEEE MTT-S, and the IEC TC-49. From 2015, Profess Wang is the editor-in-chief of Structural Longevity.

 

Speech Title: An Analysis of Propagation and Properties of Axisymmetric Waves in Elastic Solids

Abstract: The wave propagation in elastic solids is widely treated as plane waves with Cartesian coordinates for known modes such as Rayleigh and Love waves in broad engineering applications.  Such distinct wave phenomena also exist in other coordinate systems but the essential property such as the velocity should be the same as known ones while many other special features related to coordinate systems are not presented in details in earlier literature.  In a series of recent research, it confirmed that typical wave modes can be found in cylindrical coordinate system with axisymmetric feature and wave velocities are independent from coordinate systems of elastic solids. In general, the deformation solution is given in Bessel functions with a decaying feature along the radius that is different from the constant amplitude in Cartesian coordinates.  Such feature is consistent with the energy decaying along the wavefront away from the origin.  Consequently, there is a distinct feature of enhancement or reduction of signal strength and amplitudes related to the direction of wave propagation.  Clearly, this feature can be exploited further through the consideration of wave modes and direction of propagation in relation with the source in measurement and detection by sensors utilizing the axisymmetric waves.  Furthermore, it also showed through the properties of Bessel functions that wave modes are consistent with Cartesian coordinates from the asymptotic expansions, confirming the plane wave characteristics we are familiar with.  However, in the vicinity of origin, wave properties can be better represented with cylindrical coordinates and solutions.  These results, similar with major wave modes in cylindrical coordinates including Rayleigh, Love, Sezawa, and others, are analyzed in details for better understanding of their special properties to aid future applications involving elastic solids with axisymmetric configurations and required interests near the origin of typical wave propagation problems in engineering applications.  These analyses are essential in future study of axisymmetric waves in finite elastic solids with practical engineering applications.

 

 

Past ICMRA Speakers

 

 

 

Prof. Wei Ren

IEEE Fellow, University of California, USA

Prof. Jia-Yush Yen

National Taiwan University, Taiwan

Prof. Ji Wang

Ningbo University, China