AIM 2018 July 9-12, 2018, Auckland, New Zealand
IEEE/ASME International Conference on Advanced Intelligent Mechatronics


About AIM 2018

Keynote 1

Smartmechatronics in medicine

J. Geoffrey Chase, DistinguishedProfessor, University of Canterbury, New Zealand

Abstract: Mechatronic devices can often beviewed as just simple devices, where the applications are well-known andunderstood, and the elements that make them up, such as digital vision,sensors, and automation, are even more well-understood. We thus expect to seethese things in clinical, or other, settings, and, these days, in a wide rangeof consumer uses for smart devices and systems. Medicine is an area that onewould still expect to see significant use of these well-known elements in smartsystems. However, medicine is seen as requiring special electronics, sensorsand systems, but smart systems are actually in very short supply! There is ahuge gap between perception and reality in this case. This talk considers howwell-known mechatronic medical devices and fundamental computing arerevolutionising some areas of medicine with significant clinical impact bycombining them to make smart devices and systems/services. The presentationcovers three application areas that highlight different aspects. First, the useof tablet computers and computation are used to control blood sugar levels ofintensive care patients around the world, including a cloud interface for easyaccess to data and quality control auditing. Making dumb devices smart. Second,the use of ultrasonic sensors is being developed to create wearable diagnosticsthat can audit and diagnose impending hip implant failures, far enough beforethey occur to save cost on revision surgery. Smart sensing and basic mechanicsto make an intelligent mechatronic system. Finally, digital cameras, strobelights and simple actuation are used in a novel breast cancer screening conceptin clinical trials to create an all new way of screening patients that is 5xfaster and costs 10x less. This is a simple mechatronic system combined withcomputing to make a very smart mechatronic medical device. These applicationsrange from doing the same care better to all new medical applications anddevices. Each uses simple off the shelf components and systems/software to makea novel mechatronic “smart system/device” to enable more efficient healthcare.



Professor Chase received his B.S. fromCase Western Reserve University in 1986 in Mechanical Engineering. His M.S. andPhD were obtained at Stanford University in 1991 and 1996. He spent 6 yearsworking for General Motors and a further 5 years in Silicon Valley, includingXerox PARC, ReSound, Hughes Space and Communications, and InfineonTechnologies, before the University of Canterbury in 2000. His research focuseson the intersection of engineering and clinical medicine, primarily inintensive care. Dr. Chase has published over 1200 journal and conference papersand 15 US and European patents. He founded 2 startup companies, and is a Fellowof the Royal Society of NZ (FRSNZ), the American Society of MechanicalEngineers (FASME) and IPENZ (FIPENZ).

Keynote 2

IonicPolymer-Metal Composites as a Candidate Underwater Active Material

Kwang J. Kim, NV EnergyProfessor of Energy and Matter,

Director ofActive Materials and Smart Living Laboratory, Department of MechanicalEngineering, University of Nevada, USA

Abstract: Researchers have designedrobotic mechanisms to mimic aquatic lifeforms in attempt to exploit theavailable lessons from nature in marine applications.Ionic polymer-metal composite(IPMC) artificial muscles is a  lowvoltage driven actuator exhibiting large “bending” displacement and operates inan aqueous environment.  Thus, they aresuited for creating artificial fish-like propulsors that can mimic theundulatory, flapping, and complex motions of fish fins.  Conversely, they can be envisioned as sensorwhen they are subject to mechanical deformation.  In this talk, I will present some methods offabrication for biomimetic devices, specifically that of aquatic life, through3D printing which can potentially incorporate the soft actuation mechanismsduring fabrication and printing.  Itshould be noted that the developed methods of 3D printing which utilizeartificial muscles will produce devices which are silent in operation, are lowin power consumption, and can be designed to operate in different fluidenvironments.



Kwang J. (Jin) Kim is the NV Energy Professor of Energy and Matterat the Mechanical Engineering Department of University of Nevada, Las Vegas(UNLV). He graduated from Yonsei University, Korea, in 1987 and received his MSand Ph.D. in Chemical Engineering from Arizona State University (ASU) in 1989and 1992, respectively.  Later, hecompleted a postdoctoral study at the University of Maryland-College Park(UMCP; 1993-1995). He has authored/co-authored more than 370 technicalpublications including 180 referred journal papers and 3 monographs and wasawarded 3 U.S. patents.  He is arecipient of the 2016 Harry Reid Silver State Award, 2016 Barrick DistinguishedScholar Award, the 2015 Nevada Regents’ Researcher award, and the 2002 Ralph E.Powe Junior Faculty Enhancement Award from Oak Ridge Associated Universities.He is a Fellow of American Society of Mechanical Engineers (elected in 2007)and a Fellow of National Academy of Inventors (elected in 2017).

Kim’s website:

Citations >10,000 times;

Keynote 3

Modelling,Verification, Control and Co-Design of a Wave Energy Converter

Ron J Patton,Professor of School of Engineering and Computer Science,

Faculty of Science and Engineering, Universityof Hull, UK

Abstract: To achieve efficient power conversion, reliability andsurvivability in a Wave Energy Conversion (WEC) system, it is necessary tocarefully understand the device hydrodynamics, combined wave force estimationand control, to tune the WEC performance into resonance. An investigation intoa designed 1/50 scale vertical heaving Point Absorber Wave Energy Converter(PAWEC) implemented in a wave tank at the University of Hull has provided aresearch focus on aspects of: (i) nonlinear PAWEC dynamics; (ii) causalizationand estimation of wave excitation force; (iii) scaled wave tank testing; (iv)PAWEC power maximisation control; (v) hydrodynamic modelling studies. The workinvolves the valuation of various estimation and adaptive control strategies.

The presentationwill outline the strategy of numerical modelling of the PAWEC dynamics, wavetank numerical and experimental verification outline along with a comparison ofstrategies of (i) reactive control; (ii) latching control; (iii) 3-leveltracking control along with redundant approaches for estimating the wave excitationforce. The concept of redundancy in measurement/estimation will be describedleading to suggestions for good fault tolerant control design.

Co-design betweenPAWEC geometry and external Power Take-Off (PTO) damping has been investigatedvia a CFD wave tank study showing how a comparison between three buoygeometries leads to a suitably streamlined device with improved hydrodynamicresponse and power absorption efficiency and low PTO damping.  However, for optimum power conversion theestimation/control must be designed taking the hydrodynamic behaviour intoaccount through joint optimization and co-design.



Ron J. Pattongraduated at Sheffield University with BEng, Meng, PhD degrees in Electrical& Electronic Engineering and Control Systems. He holds the Chair in Control& Intelligent Systems Engineering at Hull University and has made asubstantial contribution during 35 years to the field of modelling and Robustmethods for FDI/FDD (fault detection and isolation/fault detection anddiagnosis) and Fault-Tolerant Control (FTC) in dynamic systems. He has HirschIndex h_56 and is author of 424 papers, including 138 journal papers and 5books.  Ron serves on the Editorial Boardof the International Journal of Applied Mathematics and Computer Science and isSubject Editor in System Supervision: Fault-tolerant Control & Diagnosisfor the Wiley Journal of Adaptive Control & Signal Processing. He hasserved on editorial boards of several other Journals in controlengineering.  Ron chaired theInternational Programme Committees for IFAC Safeprocess’97, UKACC Control’98and Med’08. He chaired the IFAC Technical Committee on Safety & Supervisionof Technical Processes [1996-2002] and served as vice-chair of the IFAC PolicyCommittee [2008-2011]. For the EC he was rapporteur in 1995 for the committeereporting on the need for Europeanresearch on Control in Embedded Systems. Ron coordinated the EU researchprojects IQ2FD [1997-2000] and DAMADICS -2000-2004] and contributedto FP6 NeCST [2004-2007] and FP7 ADDSAFE [2010-2013]. His work has beensupported in the UK by 13 research grants. Current research interests are:Robust multiple-model and de-centralized strategies for FDI/FDD & FTC andRenewable Energy including load mitigation control for offshore wind turbinesand wave to wire control of wave energy conversion. He is Fellow of IEEE,Senior Member of AIAA and Fellow of the Institute of Measurement and Control.


Keynote 4

CloudRobotics: The Cloud-Side Story-- Low-Latency and Reliable Cloud Computing forRobotics

Jie Xu, Professor of School of Computing, Universityof Leeds, UK

Abstract: This talk will discuss the challengesin re-engineering the Cloud for Robotics. The Cloud may suffer from some difficult problems while applied toRobotics applications, including those of high latency and low reliability.Such problems are typical in a computer system with hundreds of thousands ofdistributed servers, such as Google’s Cloud datacenter and Alibaba’s Fuxisystem. We first investigated the root causes of latency and failures in aCloud datacenter by analysing real-world datacenter tracelogs, includingoperational data sets from Google, Alibaba and Adapt (UK), and developed asystem model that captures a datacenter’s behavioural characteristics, actualresource consumption, and overall system dependability. The model was thentrained extensively using the tracelogs, able to predict the system’s run timebehavior in an accurate fashion. Tasks can be now scheduled intelligently basedon the behavioural prediction, leading to the efficient execution of anapplication without a long tail (or a long delay) and at the same time theefficient utilisation of server resources. A new method was also developed forperforming rapid but low-cost failover so as to achieve a better degree ofreliability in a Cloud datacenter.



Professor Jie Xu is Chair of Computing at the University ofLeeds, Lead of a Research Peak ofExcellence at Leeds, an elected memberof UK Computing Research Committee (UKCRC), and Director of the EPSRC-funded White Rose Grid e-Science Centre (2002– 2013), involving the three White Rose Universities of Leeds, Sheffield andYork. He was Head of the Institutefor Computational and Systems Science at Leeds, and is now Head of Distributed Systems and Services.He has worked in the field of Distributed Computing Systems for over thirty-fiveyears and had industrial experience in building large-scale networked computersystems. Professor Xu now leads a collaborative research team investigatingfundamental theories and models for distributed computing systems, anddeveloping advanced Internet and Cloud technologies with a focus on complexsystem engineering (e.g. with Rolls-Royce and JLR), energy-efficient computing(e.g. with Google and Alibaba), dependable and secure collaboration (e.g.large-scale data processing and analysis for social science and e-healthcareapplications with TPP and X-Lab Ltd), and evolving system architectures (e.g.with BAE Systems).

Professor Xu has led orco-led research projects worth a total of over £25M, mainly from the UKResearch Councils, TSB/DTI/InnovateUK, JISC and industrial sources, and was thePI of an EPSRC Platform grant. He has published more than 300 academic papersin areas largely related to exploring and building dependable distributedsystems, and received many research awards, including the BCS/IEE Brendan Murphy Prize 2001 for the best work in distributedsystems and networks, the latest Kane Kim Memorial Prize from IEEE ISORC in2012, IEEE ISADS Industrial App Award, and IEEE SOSE best paper award. He is anexecutive board member of several IEEE conferences and TCs, and advisesuniversities such as CUHK and PolyUHK for their research assessment, UKgovernmental agencies such as EPSRC and DTI (InnovateUK), and industrialleaders including Lenovo, Huawei, and Alibaba. He is the co-founder anddirector of Edgetic Ltd (UK), a university’s spin-out company, which wasawarded a cash investment of over £1.3M in 2017.

Professor Xu receiveda PhD in Computing Science from the University of Newcastle upon Tyne, andmoved to the University of Durham in 1998 as the head founder of the DurhamDistributed Systems Engineering group. He was Professor of Distributed Systemsat Durham before he joined in 2004 the School of Computing at Leeds. He is alsoa visiting/guest professor at the University of Newcastle upon Tyne, BeihangUniversity, NUDT, and Chongqing University in China.