IEEE

Plenary Talk

Plenary Talk-1 – Robotics in Healthcare

In the 21st Century, the increased demand of industry for efficiencies and safety has led to a larger need for professionals with an added expertise in the field of Robotics and Automation. Advancements in medical technology are creating a world, where robots may play a bigger part in healing the sick than doctors. Operations, treatments, and discoveries that were once deemed to be impossible by medical science have come every-day realities. Many believe that an autonomous robot could soon be a regular member of any hospital’s medical staff, performing duties from taking a patient’s pulse and scanning vital signs, to reading case notes. Robots may be used to assist doctors and healthcare professionals with a range of tasks like diagnosing diseases, suggesting treatment options, complex surgical procedures like eye surgery, healthcare at the cellular level and many other areas. Nowadays, a wide range of robots is being developed to serve in a variety of roles within the healthcare Industry. Robots specializing in human treatment like surgical robots and rehabilitation robots are used. Assistive and therapeutic robotic devices field is also growing rapidly which include robots that help patients rehabilitate from serious conditions like strokes, empathic robots that assist in the care of older or physically/mentally challenged individuals, and industrial robots that take on a variety of routine tasks, such as sterilizing rooms and delivering medical supplies and equipment, including medications. In future, the rapid rise of artificial intelligence advancing the medical industry will help many areas of healthcare to use robots. The rapid progress of robotic technique provides new opportunities for the biomedical and healthcare engineering.


Dr. G. Kulanthaivel, Professor & Head of the Department of Electronics and Communication Engineering, National Institute of Technical Teachers Training & Research, Ministry of Human Resource Development, Government of India, Chennai, India received his Ph.D. degree in Information and Communication Engineering from Anna University, Chennai. He completed his Master’s degree in Microwave and Optical Engineering from Madurai Kamaraj University and Bachelor’s Degree in Electronics and Communication Engineering from University of Madras. He is having experience for more than 20 years in training of technical teachers in India and abroad. He has worked in Colombo Plan Staff College (CPSC), Manila, Philippines as Faculty Consultant & Chairman of the Information and Communication Technology Division for nearly four years on Government of India deputation. He is an Accreditor for Asia-Pacific Accreditation and Certification Commission (APACC). His area of interest includes Virtual Instrumentation, Biomedical Engineering, Computer Networking, Telemedicine, ICT applications in Education and Training, TVET, Accreditation, Instructional Design and Delivery Systems. He has published/presented many papers in the National/International Journals/Conferences. He has visited more than 20 countries and conducted different Quality Improvement Programs in the area of TVET. He is a member of many International/National Professional bodies including Institute of Electrical and Electronics Engineering {IEEE(USA)}, World Council for Curriculum and Instruction (WCCI – USA) and International Vocational Education and Training Association {IVETA – USA}.


Plenary Talk-2 Automating the Design of Cyber-Physical Systems

The Fourth Industrial Revolution (Industry 4.0) has kick-started a growing product development trend, which tends to blend electro-mechanics, digital electronics, distributed control, intelligence, the internet, and cloud computing elements into a single integrated system, popularly known as “Mechatronics Systems”. Recently, a subset of mechatronic products and systems – characterized by concurrent, dynamic and real-time interactions among subsystems from “Cyber” and “Physical” domains – are being increasingly called Cyber-Physical Systems (CPS). CPS system design has implications beyond its traditional domains such as smart transportation systems, smart factories, and homes, smart buildings and community, smart energy systems, remote monitoring systems. Today it extends to even Healthcare, cyber-physical biochip, and wearable devices. The major design challenge is the need for a CPS to be engineered concurrently and as “a whole”. This renders design synthesis and design automation a difficult problem. Recently, advances in Model-Driven Development (MDD) approaches have shown that use of meta-models can be gainfully used to overcome synthesis and end-to-end design automation problems. We argue that a logical extension to MDD will be the use of Knowledge Models and Ontologies to integrate disparate systems into a coherent whole. Using Case studies this concept is illustrated.


Dr. Veera Ragavan Sampath Kumar worked for several multinational companies in various capacities from a Design Engineer to Business Unit Head. He has more than 17 years of industrial experience in the design and development of Factory Automation Solutions and has executed several projects from concept to commissioning. He is a renowned Systems Integrator and a System of Systems Architect, specializing in Fluid Power Automation and Control, Telematics, M2M, Robot Navigation, RTOS, Application Software development for Manufacturing Automation and Embedded Software for consumer electronics and Factory Automation. His current research interests are Modeling, Simulation, Design, and Development of Industry 4.0 and Cyber-Physical Systems with a focus on Industrial Automation, Real-time Embedded Systems, Robotics, Industrial Internet of Things, and Machine Learning. He has been an active member of several internationally renowned technical committees. He served as a core member of IEEE RAS Working Group that developed the internationally acclaimed IEEE 1872TM- 2016 standard – Core Ontologies for Robotics and Automation. Currently, he is the Co-Chair of the IEEE working group for developing Ontologies for Autonomous Robots (IEEE1872.2 AuR) and core working member of Robot Task Representation (IEEE 1872.1). He is an active member of the ASME Standards Project on Robotics Arm Performance, IEEE P1931.1 – Roof Computing WG, IEEE P7000 – Model Process for Addressing Ethical Concerns in System Design, IEEE SA P7007 Ontological Standard for Ethically Driven Robotics and Automation Systems Working Groups. He serves on the IEEE-IES Technical Subcommittee on Computer Vision and Human-Machine Interaction in Industrial and Factory Automation.


Plenary Talk-3 Cooperation of Unmanned Autonomous Vehicles (UAVs) – Recent developments

The growth of affordable sensors and actuators markets fuelled the development and applications of robotics in many fields. There are different types of robots: industrial, wheeled, tracked, aerial, underwater or special purpose robots available for research and education. Irrespective of the type, the robot meets its objectives through mobility. The mobility needs a path planner to design a path or trajectory and is executed by one or more actuators. There are many different approaches available for path planning. The path planning becomes complex and challenging when more than one robot is involved in completing task. Since the cooperative robots are cost-effective, and work-efficient, it emerged as a cost-effective solution since the era of industrial robotics. The potential applications of cooperative robotics are ever expanding in both military and civilian areas. In this talk, I will present an overview and recent developments of cooperative robotics.


Dr Madhavan Shanmugavel has Bachelor of Engineering degree in Mechanical (Madurai Kamaraj University, 1996), and Masters degree by research in Mechanical (Indian Institute of Technology, Chennai 2000). He did his PhD and Post-Doc in Cranfield University, UK in 2007 in the area of Cooperative path planning and guidance of UAVs. He gained industrial experience in automotive testing & development from Engineering Research Centre, TATA Motors (2000 to 2004). He holds education degree: Graduate Certificate in Higher Education from Monash University Australia. Since 2011, he is with Monash University Malaysia campus. He is teaching Mechatronics, Robotics, Dynamical Systems, Engineering Mechanics, and Mechanics of Materials and his teaching-related duties include Outcome Based Education (OBE). Dr Madhavan’s primary area of research are path and trajectory planning, Navigation, Guidance of Robotics, and Unmanned Autonomous Vehicles (UAVs), Design of special purpose Robots. He published more than 40 publications in various journals and in conferences. Currently, he is supervising two PhD students and three students completed their PhD under his supervision. He completed five research grants: three Government grants and two from institutes and supervising one Government research grant.


Plenary talk-4 Topic: Machine learning algorithms in Industrial Automation

Machine learning is a field of artificial intelligence (AI) that provides the computers the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning has a number of applications like self-driving vehicles, health care, financial industry and retail/customer service, to name just a few. Apart from these common applications, machine learning algorithms are finding their way into the manufacturing industry also, providing everything from increased production capacity to more efficient plant operations. Manufacturers have started integrating MI programs into their automation processes and the inclusion of other advanced technologies like IoT is helping manufacturers gain a foothold in the 21st Century’s Industry 4.0 revolution. In this talk, the background of machine learning techniques like Decision trees, Baye’s classifier, Support Vector Machine and Artificial neural networks will be discussed. Artificial Neural networks is the most successful one among them. An artificial neural network is an information-processing system that is inspired by the way biological nervous systems, such as the brain, process the information. This talk will focus on the various architectures of artificial neural networks and the different algorithms used to train them. The shift from learning to Deep learning and the resulting evolution of architectures will also be discussed. Further, the applications of these techniques for product quality inspection, equipment predictive maintenance etc will also be discussed.

Prof. Dr Devaraj has his B.E, M.E and PhD in Electrical & Electronics Engineering and Power System Engineering, from Thiyagarajar College of Engineering, Madurai and IIT Madras, repectively. Presently, he is the Director, Academic & Dean, School of Electronics and Electrical Technology at Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu. He has received Best Faculty Award from Venus Foundations, Chennai and Nehru Group of Institutions, Coimbatore. He has organized several Conferences, Seminars and workshops and authored 2 books named after Power system analysis and Power system control. He has published 140 papers in Journals and 250 papers in conference proceedings. He has chaired technical sessions in National and International Conferences, Editorial board member of the International Journal of Adaptive and Innovative Systems and reviewer of IEEE Transaction on Fuzzy System, IEEE Transaction on System, Man, Cybernatics, IET Proceedings on Generation, Transmission & Distribution, International Journal on Electric Power & Energy Systems, Electric Power Components and Systems, Neuro computing and Applied Soft computing Journal. He has Supervised 20 Ph.D., 2 M.S and 25 M.E theses. Presently, he is guiding 8 Ph.D scholars. He has undertaken four research projects funded by DST, New Delhi. His research interest includes Power system optimization, Power system security, Smart grid, Voltage stability, Evolutionary algorithms, Machine learning. He is a Senior member of IEEE and Executive committee Member of IEEE Madras Section.