IDITR 2023 Speakers

 

More information about speakers will be released soon...

 

Prof. Shuzhi Sam Ge
(Keynote Speaker)

 

Fellow of IFAC, IEEE, IET

National University of Singapore, Singapore

Biography: Prof.Shuzhi Sam Ge is the Director of Social Robotics Lab, Interactive Digital Media Institute, and Supervisor of Edutainment Robotics Lab, Department of Electrical and Computer Engineering, the National University of Singapore. He obtained his BSc from Beijing University of Aeronautics and Astronautics, and PhD and DIC from Imperial College London. He has (co)-authored three books: Adaptive Neural Network Control of Robotic Manipulators (World Scientific, 1998), Stable Adaptive Neural Network Control (Kluwer, 2001) and Switched Linear Systems: Control and Design (Springer-Verlag, 2005), over 300 international journal and conference papers, and edited a book: Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications (Taylor and Francis, 2006).

He is the Editor-in-Chief, International Journal of Social Robotics, Springer, and the book Editor of the Taylor & Francis’ Automation and Control Engineering Series. He has served/been serving 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. At IEEE Control Systems Society, he served/serves as Vice President for Technical Activities, 2009-2010, and Vice President for Membership Activities, 2011. He is an Fellow of IFAC, IEEE, and IET.


He was the recipient of Inaugural Temasek Young Investigator Award, Defence Science and Technology Agency (DSTA), Singapore, 2002; and National Technology Award of the National Science & Technology Board, Singapore,1999. He provides technical consultancy to industrial and government agencies. His current research interests include social robotics, mind robotics, multimedia fusion, adaptive control, intelligent systems and artificial intelligence. He is the founder of Personal E-Motion Pte Ltd and Portege Pte Ltd.

 

 

 

 

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.

 

 

 

 

 

 

 

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