2022 2nd International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2022)

Keynote Speakers


Prof. Qixin Cao

Shanghai Jiao Tong University, China

Title: The Key Technologies of Autonomous Movement and Grasping for Composite Robot

Abstract: Composite robot is a new kind of robot which integrates autonomous movement and manipulator technology. Compared with traditional robots, they have higher mobility and flexibility, and are recognized as indispensable production equipment for intelligent factories. Although, as early as in the 1980s, the concept prototype of composite robot was developed by the German factory. Due to the limitation of the complexity of autonomous movement and grasping technology, this kind of composite robot has been difficult to be promoted and applied. More recently, advances in machine vision and deep learning have made it possible to use composite robots in a variety of industries. Therefore, our laboratory has carried out in-depth research on key technologies of mobile grasping of composite robots, including environment perception and modeling, object recognition and grasping, task planning and implementation, and the construction of RSFC(Robot software Functional Component) platform. RSFC platform can be combined and configured according to different working environments and tasks of the composite robot, so that the composite robot can realize autonomous visual grasping and assembly functions. Experiments verify that the autonomous composite robot based on RSFC platform has high flexibility, and can flexibly realize model grasping and assembly tasks with/without model. In addition, the results of JDX Robot Challenge show that the robot has the characteristics of fast execution and high reliability.
ixin Cao received the Ph.D. degree in Agricultural Engineering, Kagoshima University, Japan, in 1997. Research Fellowship for Young Scientist of Japan Society for the Promotion of Science, in 1998-2000. Since 2000, he has been working as a professor at the school of mechanical engineering, Shanghai Jiao Tong University. His current research interests include Machine vision, Ubiquitous robotics, Autonomous Mobile Robot and Medical robot. Prof. Cao has achieved a number of awards including the National Science and Technology Progress Award and the National Teaching Achievement Award. He has published over 200 papers, and been authorized 98 invention patents.


Prof. Bin Liu

Dalian University of Technology,China

Title: Personalized Computer-Assisted Medicine Based on Graphics and Image Processing

Abstract: The human pursuit of health is endless. Nowadays, countries all over the world have increased their investment in the field of health care. As an emerging discipline in the future, computer-assisted medical technology has attracted much attention. This is a deeply intersecting discipline. It not only includes computer technology and medical technology, but also requires the intervention of artificial intelligence technology, mechanical engineering, mechanics and other disciplines. In the past ten years, our research group has done some exploratory research on computer-assisted personalized orthopedic surgery (especially personalized orthopedic prosthesis modeling). In addition, we have also conducted some more challenging research in intelligent image processing and analysis. In future research, it is hoped that more disciplines can work together to truly solve clinical practical difficulties.

Experience:Liu Bin, Professor, Doctoral Supervisor, Department of Digital Media Technology, School of International Information and Software, Dalian University of Technology; Visiting Professor, Ritsumeikan University, Japan; Director and Technical Director of Liaoning Provincial Key Laboratory of Medical Simulation Technology; 3D Printing of China Association of Medical Biotechnology Member of the technical branch; deputy director of the Professional Committee of Repair and Reconstruction Surgery and Digital Technology of the Liaoning Provincial Society of Cell Biology; Executive Director of the Professional Committee of Advanced Medical-Industrial Fusion Technology of the Liaoning Provincial Society of Cell Biology. From 2000 to 2009, he graduated from the School of Mechanical Engineering, Dalian University of Technology, and from 2018 to 2019, he conducted joint visiting research in the Department of Biomedical Engineering, National University of Singapore.The main research directions are medical image processing and 3D reconstruction, computer-aided preoperative planning and simulation, computer vision and graphic images. In the interdisciplinary field of medicine and engineering, he presided over 3 projects of the National Natural Science Foundation of China, participated in more than 10 projects of the National Key R&D Program, the National Natural Science Foundation of China, and provincial and ministerial-level projects; published more than 40 papers in international journals as the first/corresponding author; The first author authorized 16 national invention patents and more than 40 software copyrights. Served as editorial board member and reviewer of several international journals and top international conferences in the field of medicine and engineering. Long-term clinical research cooperation with Shengjing Hospital Affiliated to China Medical University, Liaoning Cancer Hospital, First Affiliated Hospital of Dalian Medical University, Second Affiliated Hospital of Dalian Medical University, etc.


Prof. Richard (Chunhui) Yang
Western Sydney University (WSU), Australia

Mechanical anisotropy of additively manufactured polymeric composite materials 

Abstract: Additive manufacturing (AM) is an advanced material fabrication and manufacturing technology and a core technology of Industry 4.0 and Advanced Manufacturing. AM can synthesise products with complex geometric shapes using Computer Aided Design (CAD) models as three-dimensional blueprints. As a novel manufacturing technology, great interests are attracted explore how to get expected mechanical properties and mechanical behaviours of such additively manufactured materials including polymeric composite materials. The quality of  additively manufactured materials is strongly influenced by  additive manufacturing machine parameters and process parameters, such as build orientation and infill density. Therefore, from the optimal design’s point of view, the additive manufacturing process of polymeric composite materials should be optimally controlled while additively manufactured material products should be well designed for additive manufacturing specifically different from those products manufactured traditionally. This study develops a finite element analysis-based AM modelling and analysis process for additively manufactured  polymeric composites  fabricated by Fused Deposition Modelling (FDM)and investigates the effects of building orientation (including both longitudinal and transverse directions) and infill density on their material properties, e.g., Young’s modulus and tensile strength. Numerical results show higher tensile strength in longitudinal samples in comparison with transverse samples which are in great agreement with experiment results. 

Experience:Richard (Chunhui) Yang joined WSU in January 2012 as Associate Professor of Mechanical Engineering and Smart Structures and he was promoted as Professor in 2018. Prior to this, Richard held the position of Senior Lecturer in Mechanical Engineering, the School of Engineering, Deakin University (Deakin). Prior to his almost six-year working in Deakin University, he also has worked in the University of Sydney (USyd) and Korea Advanced Institute of Science and Technology (KAIST) as post-doc research fellow after he finished his PhD in Mechanical Engineering at the University of Hong Kong (HKU) in 2002. He was awarded the Graduate Certificate for Higher Education at Deakin University in 2008.In research, he has been mainly focusing on characterisation of material properties and mechanical behaviours of advanced engineering materials, multi-scale modelling of advanced engineering materials, structural health monitoring (SHM) and smart structures, metal forming and manufacturing, metal surface treatment, Industry 4.0, Advanced Manufacturing, Additive Manufacturing, etc. Now he is mainly focusing on Industry 4.0, Advanced Manufacturing and Additive Manufacturing of metals and polymeric composites. As for research grants, he has secured more A$12m from external funding resources, including 11 Australian Research Council (ARC) competitive research grants, 15 grants from industry and 6 defence grants, respectively. In scientific publication, he has published 3 edited books, 9 book chapters, 4 special issues, and more than 260 refereed journal and conference papers in his fields of research. As for external services, Richard is serving as assessor for ARC, Editor-in-Chief, associate editor, guest editor, editorial board member, conference chair and co-chair, conference committee member, reviewers of international journals and conferences, examiner for Master and PhD theses, etc.


A.Prof. Jin-Yuan Wang
Nanjing University of Posts and Telecommunications, China

Title: Visible Light Communications

Abstract: Visible light communications (VLC) refers to the communication technology which uses the visible light source as a signal transmitter, the air as a transmission medium, and the phododiode as a signal receiing component. Recently, VLC has been considered as a potential candidate for 6G wireless communications. However, due to their essential differences, the conventional radio frequency wireless communication techniques cannot be deriectly applied to VLC. This talk will briefly introduce the basic principles of VLC and then discuss some recent research progresses on VLC. A number of future research directions will also be discussed.

Experience:Jin-Yuan Wang received the B.S. degree in communication engineering from Shandong University of Science and Technology, Qingdao, China, in 2009, the M.S. degree in electronic and communication engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2012, and the Ph.D. degree in Information and Communication Engineering from Southeast University, Nanjing, China, in 2015. From January 2016 to June 2019, he was a lecturer at Nanjing University of Posts and Telecommunications, Nanjing, China, where he has been an Associate Professor since July 2019.His current research interests are visible light communications. He has authored/co-authored over 120 journal/conference papers. Dr. Wang is serving as the Youth Editor of Journal of Electronics & Information Technology, the Topic Editor of Sensors, and the Guest Editor of Frontiers in Signal Processing. He has been a Track Chair, Workshop Chair, or Technical Program Committee Member for many international conferences. He also serves as a Reviewer for many international journals.