Prof. Dr. Dongwon Yun
Prof. Dr. Meng-Shiun Tsai
Associate Professor, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
Distinguished Professor, Mechanical Engineering Dept., National Taiwan University
Director of Intelligent Machinery Research Center, National Taiwan University
Dr. Dongwon Yun is an Associate Professor at Daegu Gyeongbuk Institute of Science and Technology (DGIST). Professor Dongwon Yun obtained the degree of Dr. in mechanical engineering from KAIST. His research fields are Macro robots, Wearable robots, Wearable sensors, Artificial intelligence and Autonomous navigation.
In DGIST, he founded the Biorobotics and Mechatronics laboratory (BRM Lab). The goal of this lab is to get ideas from nature to implant the findings into robotic and mechatroncis systems. We pursue to develop the novel and creative robot and engineering systems through this study for applications in medical, military and industrial fields.
Professor Dongwon Yun is also an ISC member of ICMT now, and he is very active and smart in mechatronics fields in Korea.
Study on the robotic hand and gripper
In this talk, I would like to introduce research on robot hands and grippers that is being carried out in the BRM laboratory, DGIST. In this presentation, I would like to introduce three types of grippers. The first relates to a multi-purpose gripper capable of gripping objects of various sizes and shapes. To this end, we applied a film that generates an electrostatic force to a traditional robotic gripper. The second gripper is a study on soft grippers, and I would like to introduce a gripper made of soft material to grip soft objects. Finally, I would like to introduce a gripper with a flexible flexure joint that has excellent external shock absorption performance and has compliance to grip various objects.
Meng-Shiun Tsai received his B. S. degree in Mechanical Engineering in 1988 from National Taiwan University, Taiwan, and the M. S. and Ph. D. from the Pennsylvania State University, USA, in 1995 and 1998, respectively. Since 1998, he had been with Department of Mechanical Engineering, National Chung-Cheng University (CCU), Taiwan, and he was promoted to be a distinguished professor in 2018. Dr. Tsai joined the Department of Mechanical Engineering of National Taiwan University as a professor in August, 2018 and currently is a distinguished professor. He becomes the Director of Intelligent Machinery Research Center in 2021. He has published over 100 technical papers and owned several patents at different research areas including smart manufacturing, CNC motion controls, robot arm control, active-passive vibration controls, piezoelectric-based smart structures, and ultrasonic motors, etc. In terms of industry-university cooperation, Professor Tsai has cooperated with more than 25 machine tool manufacturers and worked for over 60 research projects in the past few years to help them develop various technologies such as intelligent servo tuning, CNC kernels, virtual simulation and edge computing. He received many awards from the government, industrials and universities including the Industry-Academia Contribution Award from the Machinery Industry Association (2022), the Outstanding Engineering Professor Award from the Chinese Society of Engineers and CSME (2021) and Outstanding Research Award from the Ministry of Science and Technology (2016), etc. He is the members of ASME, IEEE and the National Honor Society of Phi Kappa Phi.
From AR/VR, Digital Twin and AI to Industrial Metaverse
In this talk, the background on industry metaverse will be introduced first by the videos made by some famous international manufacturing companies. Then the seven layers of the metaverse are investigated and the technology roadmap are presented. The AR/VR, digital twin, Avatars, and AI composed of the main cores of the industry metaverse are illustrated to connect the virtual world and real industry. The main objectives of the metaverse are analyzed from the five different point of aspects such as human, machine, product, factory, and enterprise. Then the techniques such as machine vision, blockchain, digital twin, natural language processing and neural interface using AI and machine learning are presented to AI with the metaverse. After that, the smart manufacturing system developed in Intelligent Machinery and Mechtronics Control (IMMC) Lab. of National Taiwan University are used as an active example to illustrate how the digital twin could be applied to solve the cutting mark problem. Finally, future research directions in AI, advanced robotics, smart inspection and diagnosis of the metaverse are presented.
Prof. Dr. YOSHIOKA Hayato
Prof. Dr. JJ Chong
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
Assistant Professor of Mechanical Engineering and Degree Programme Director for Energy Storage, Newcastle University in Singapore
Dr. YOSHIOKA Hayato is a Professor at the Institute of Industrial Science, the University of Tokyo. He obtained a doctorate in mechanical engineering from Tokyo Institute of Technology.
His research area is development of ultraprecision machinery technologies for a manufacturing system. He has developed several ultraprecision mechanical technologies such as positioning table systems, spindle systems, and process monitoring systems.
Recently, he has been interested in realization of flexible manufacturing system with industrial robots. He is a member of JSME, JSPE, JSA, euspen, and CIRP.
Advanced manufacturing system based on mechatronics
In recent years, manufacturing systems have been required to meet various demands: high productivity, high precision, low cost production, environmental impact, and high-value added production. To meet these requirements, the mechatronics technologies play an important role in manufacturing systems. In this presentation, I would like to introduce two examples that our group has been researching.
One is an expansion of the machining function for generating micro patterns on the curved surface. This technology is based on the fast tool servo technology driven by a giant magnetostrictive actuator. The developed machining system can fabricate both curved geometry and micro-texture simultaneously.
The other topic is a flexible manufacturing system by using autonomous mobile robots (AMRs). AMRs can move freely on shop floor in the factories, and hence they can role not only delivering and handling materials but also assembling and inspecting products. AMRs can handle various tasks instead of human operators.
Dr. JJ Chong is an Assistant Professor of Mechanical Engineering and Degree Programme Director for Energy Storage at Newcastle University in Singapore. He joined Singapore from University of the West of England (UWE), UK in 2019. Dr. Chong has a proven track record of generating high-quality high-impact research. Under the Research Excellence Framework (REF), his papers were rated “World Leading” (4*) or “Internationally Excellent” (3*), by a number of external reviewers with previous Research Assessment Exercise (RAE) experience. In addition, Dr. Chong has a track record of working on grants application. He is currently a Co-investigator on an International Exchange grant funded by the Royal Society. He is editorial board in international journals: Biomedical Engineering Online Journal and International Journal of Theoretical and Applied Multiscale Mechanics. Dr. Chong’s research interests lie in virtual environments, AR & VR, robotics, smart sensing and human-machine interface.
Smart Lighting and Decentralizing IoT Edge Devices for Urban Farming
In recent years, the number of indoor farms established around the world has grown. This increase is because indoor farms are seen as the solution to meet the food demands of an increasing population amidst climate change challenges. However, high energy consumption is still one of the issues that plague indoor farms. It is necessary to employ large amounts of Light Emitting Diodes (LEDs) to generate sufficient light for plants to grow well indoors. In indoor farms, artificial lighting accounts for more than 80% of its energy consumption.
The intent of this talk is to share the research conducted at my lab in developed an energy-efficient lighting system for urban farming and demonstrated the decentralising the IoT server by containerisation enables the use of low-powered microcomputers to run IoT server applications.
Prof. Dr. Truong Dinh
Associate Professor of Energy Management and Control Systems, Deputy Director of Admissions in WMG, the University of Warwick
Alan Turning Fellow and an IEEE senior member
Dr. Dinh is currently an Associate Professor of Energy Management and Control Systems, Deputy Director of Admissions in WMG, the University of Warwick. He is also an Alan Turning Fellow and an IEEE senior member.
His research interests are mechatronic systems design, modelling and control, sustainable technologies for future of mobility and energy systems, energy saving, energy/power management technologies, control theories and applications, renewable energy. He has generated a research funding portfolio of circa £14m for the departments. He has published over 190 articles including 80 high quality journal papers. He has delivered more than 20 keynote and invited talks at renowned conferences and industrial events and received 13 journal and conference paper awards.
Dr Dinh has involved in different professional activities, including: technical committee member of IEEE-IES – Motion and Control Section; secretary/webmaster of IEEE-CIS Region 8; editorial members of several international journals; general co-chair, technical program co-chair and international steering committee member of several renowned conference series.
Emerging trends, standards and development of electric motorcycles
CO2 emissions in the transport sector make up approximately 30% of the total man-made CO2 emissions worldwide. Many countries including the UK have pledged that sales of conventional petrol and diesel vehicles will be banned toward 2035. In response to the environmental, legislative and societal pressures, the transport sector, including motorcycles, is embarking upon a period of unprecedented technological change with the main focus on electrification.
This speech will give a brief overview about the emerging trends, development standards as well as some development activities carried out within our team for next generation of electric motorcycles.