IDITR 2023 Speakers

 

 

Prof. Shuzhi Sam Ge
(Keynote Speaker)

 

Fellow of IFAC, IEEE, IET

National University of Singapore, Singapore

 

Keynote Lecture: Robotic Perception and Intelligent Interaction

Abstract: Robotics and Artificial Intelligence (AI) are the driving forces as they are revolutionizing our works and daily lives. In this lecture, I will first give a brief review of the development of robots and welcome the era of social robots as they are becoming parts of the daily lives. Then I will share some recent research works on human robot interactions   including robotic perception, intelligent control with safety, scene understanding for better interaction and companionship. Further, then I will share the interactions between human beings, intelligent robotic beings and intelligent virtual beings in the futuristic intelligent environment. Finally, I conclude my presentation on the fusion of AI and social robotics as an integral part of our social fabric in the world of metaverse where digital living space and physical space are seamless integrated.

 

Biography: Shuzhi Sam Ge received his Ph.D. degree and Diploma of Imperial College (DIC) from the Imperial College London, London, U.K., in 1993, and B.Sc. degree from the Beijing University of Aeronautics and Astronautics (BUAA), China, in 1986. He is a Professor with the Department of Electrical and Computer Engineering, PI member of Institute for Functional Intelligent Materials, the National University of Singapore, Singapore, and the Founding Honorary Director of Institute for Future (IFF), Qingdao University, China.

   He serves the President Elec, 2022-2024, and a Member of Steering Committee of Asian Control Association (ACA), served as Vice President for Membership Activities, 2011-2012, Vice President of Technical Activities, 2009-2010, Member of Board of Governors, 2007-2009, and Chairman of the Technical Committee of Intelligent Control, 2005-2008, IEEE Control Systems Society (CSS). He serves as the Founding Editor-in-Chief of the International Journal of Social Robotics, Springer, and served/serves as an Associate Editor for a number of flagship journals including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Neural Networks, and Automatica, Book Editor for Taylor & Francis Automation and Control Engineering Series. He is a Fellow of IEEE, IFAC, and IET, and Singapore Academy of Engineering. He has (co)-authored 8 books and over 600 international journal and conference papers. His current interests are robotics, intelligent control, artificial intelligence, functional materials, and translational research.

 

Prof. Fuchun Sun
(Keynote Speaker)


IEEE Fellow

Tsinghua University, China

 

 

 

Keynote Lecture: Robot Skill Learning in Virtual-Real Scene and for 3C Assembly

Abstract: The robot AI is dominated by physical interaction in a closed-loop form. It not only emphasizes the perception and processing of simulated human brain information, but also emphasizes brain-body cooperation to solve the dynamic, interactive and adaptive problems of behavior learning in the dynamic scene. As the core of robot AI, skill learning for robot manipulations is a difficult and important issue in current research. In view of the problems that existing skill learning methods do not make use of the demonstration samples efficiently and cannot achieve efficient policy learning, and the imitation learning algorithm is sensitive to the teaching preference characteristics and the local manipulation space, this talk introduces the skill learning for robot manipulations in virtual-real scenes carrying out in our research team. By using digital twin technology, a virtual scene for robot manipulation is established where new tactile modeling, imitation learning and transfer learning approaches are proposed for skill learning. Furthermore, some enhancement approaches are also developed for skill’s robustness and generalization ability in 3C applications. Finally, the future development of robot skill learning is prospected.


Biography: Dr. Fuchun Sun is a full professor of Department of Computer Science and Technology and President of Academic Committee of the Department, Tsinghua University, deputy director of State Key Lab. of Intelligent Technology & Systems, Beijing, China. He also serves as Vice president of China Artificial Intelligence Society and executive director of China Automation Society. His research interests include robotic perception and intelligent control. He has won the Champion of Autonomous Grasp Challenges in IROS2016 and IROS 2019.

   Dr. Sun is the recipient of the excellent Doctoral Dissertation Prize of China in 2000 by MOE of China and the Choon-Gang Academic Award by Korea in 2003, and was recognized as a Distinguished Young Scholar in 2006 by the Natural Science Foundation of China. He is elected as IEEE Fellow and CAAI Fellow in 2019, CAA Fellow in 2020.He served as an associated editor of IEEE Trans. on Neural Networks during 2006-2010, IEEE Trans. On Fuzzy Systems during 2011-2018, IEEE Trans. on Cognitive and Development since 2018 and IEEE Trans. on Systems, Man and Cybernetics: Systems since 2015. He was invited to make a plenary talk or keynote speech at the international summit ICRA2021, IROS2019, AAAI2021, etc.

Prof. Valentina Emilia Balas 
(Keynote Speaker)

 

Aurel Vlaicu University of Arad, Romania

 

 

 

 

 

Biography: Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 400 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation.
   She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to  International  Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is evaluator expert for national, international projects and PhD Thesis.
   Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs and Projects in the same university.
   She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in nine editions organized in the interval 2005-2020 and held in Romania and Hungary. Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair, member in Steering, Advisory or International Program Committees and Keynote Speaker.
   Recently she was working in a national project with EU funding support: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures - For Digital Integrated Circuits, 3M Euro from National Authority for Scientific Research and Innovation.
   She is a member of European Society for Fuzzy Logic and Technology (EUSFLAT), member of Society for Industrial and Applied Mathematics (SIAM) and a Senior Member IEEE, member in Technical Committee – Fuzzy Systems (IEEE Computational Intelligence Society), chair of the Task Force 14 in Technical Committee – Emergent Technologies (IEEE CIS), member in Technical Committee – Soft Computing (IEEE SMCS).
   Dr. Balas was past Vice-president (responsible with Awards) of IFSA - International Fuzzy Systems Association Council (2013-2015), is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India and recipient of the "Tudor Tanasescu" Prize from the Romanian Academy for contributions in the field of soft computing methods (2019).

 

 

Prof. Heshen Wang
(Keynote Speaker)

 

Shanghai Jiao Tong University, China

 

 

 

 

 

Keynote Lecture: Visual Servoing of Robots

Abstract: Visual servoing is an important technique that uses visual information for the feedback control of robots. By directly incorporating visual feedback in the dynamic control loop, it is possible to enhance the system stability and the control performance. Many challenges appear when robots come to our daily life. Compare to industrial applications, the robot need deal with many unexpected situations in unstructured environments. The system should estimate the depth information, the target information and many other information online. In this talk, various visual servoing approaches will be presented to work in unstructured environments. These methods are also implemented in many robot systems such as manipulator, mobile robot, soft robot, quadrotor and so on.


Biography: Hesheng Wang received the Ph.D. degree in Automation & Computer-Aided Engineering from the Chinese University of Hong Kong. Currently, he is a Professor of Department of Automation, Shanghai Jiao Tong University, China. He has published more than 200 papers in refereed journals and conferences. He is an associate editor of IEEE Transactions on Automation Science Engineering, IEEE Robotics and Automation Letters, Assembly Automation and International Journal of Humanoid Robotics, a Technical Editor of IEEE/ASME Transactions on Mechatronics. He served as an associate editor for IEEE Transactions on Robotics from 2015 to 2019.  He was the general chair of IEEE RCAR2016 and IEEE ROBIO2022, and program chair of IEEE AIM2019 and IEEE ROBIO2014. He was a recipient of Shanghai Rising Star Award in 2014, The National Science Fund for Outstanding Young Scholars in 2017, Shanghai Shuguang Scholar in 2019 and The National Science Fund for Distinguished Young Scholars in 2022. He will be the General Chair of IEEE/RSJ IROS2025.

 

 

Prof. Dongyi Chen
(Keynote Speaker)

 

University of Electronic Science and Technology of China, China

 

 

 

Keynote Lecture: Smart Wearable and Healthcare

Abstract: This presentation mainly introduces the concept,and classification of smart wearable  technology and the application of the technology in medical treatment and health care fields, explains the development process of smart wearable  medical and health products for chronic diseases (such as cardiovascular diseases), and then discusses the types of physiological and motion parameters that can be  in the detected by wearable devices ,as well as gives preliminary technical analysis of the application and the bottleneck of wearable technology in stethoscope , electrocardiograph, blood glucose meter and sphygmomanometer. The latest development of smart wearable also introduced, such as wearable and implantable biochemical detection, wearable ultrasound, VR and emotion recognition.


Biography: Prof. Dongyi Chen is a professor of the Mobile Computing Center of the University of Electronic Science and Technol­ogy of China. He is also a visiting research fellow at Shenzhen Institutes of Advanced Technology of Chinese Academy of Science. He got ph.d degree in1997 at Chongqing university, and was postdoctoral at the University of To­ronto, processor of Chongqing university,visiting professor at GVU center of Georgia Tech ,TZI Center of Bremen University separately from 1999-2017 . 
   He is Co –Chair of IEEE SMCS TC on Interactive and Wearable Computing and Devices. He was a co-organizers and Chair of The first (2010) and the second (2011) “Sino-German Symposium on Wearable Computing”.

 

 

 

 

 

 

 

IDITR Past Speakers

Prof. Dan Zhang

York University, Canada

Prof. Fengchun Tian

Chongqin University, China

Prof. Zhiyuan Zhu

Southwest University, China

Prof. Yang Yue

Xi'an Jiaotong University, China

Prof. Zhaoxing Gao

Zhejiang University, China