Prof. Danica Kragic, Royal Institute of Technology (KTH), Sweden (IEEE Fellow)
Biography: Danica Kragic is a Professor at the School of Computer Science and Communication at the Royal Institute of Technology, KTH. She received MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia in 1995 and PhD in Computer Science from KTH in 2001. She has been a visiting researcher at Columbia University, Johns Hopkins University, Brown University and INRIA Rennes. She is the Director of the Centre for Autonomous Systems. Danica received the 2007 IEEE Robotics and Automation Society Early Academic Career Award. She is a member of the Royal Swedish Academy of Sciences, Royal Swedish Academy of Engineering Sciences and Young Academy of Sweden. She holds a Honorary Doctorate from the Lappeenranta University of Technology. She chaired IEEE RAS Technical Committee on Computer and Robot Vision and served as an IEEE RAS AdCom member. Her research is in the area of robotics, computer vision and machine learning. She is a recipient of ERC Starting and Advanced Grants. Her research is supported by the EU, Knut and Alice Wallenberg Foundation, Swedish Foundation for Strategic Research and Swedish Research Council. She is an IEEE Fellow.
Prof. Aiguo Song, Southeast University, P. R. China
Biography: Aiguo Song received the Ph.D degree in Measurement and Control from Southeast University, Nanjing, China in 1996. From 1996 to 1998, he was an Associate Researcher with the Intelligent Information Processing Laboratory, Southeast University, China. From 1998 to 2000, He was an associate Professor with the School of Instrument Science and Engineering, Southeast University, China. From 2000 to 2003, he was the Director of the Robot Sensor and Control Lab, Southeast University, China. From April, 2003 to April, 2004, he was a visiting scientist with the Lab for Intelligent Mechanical Systems (LIMS), Northwestern University, Evanston, USA. He is currently the Professor with the School of Instrument Science and Engineering, Southeast University, China, and also the Director of Robot Sensor and Control Laboratory, the President of Nanjing Advanced Robotics Research Institute. His current interests concentrate on human-robot interaction teleoperation robot, force/tactile sensors, haptic display, space robot, and rehabilitation robot. He has published more than 280 peer reviewed journal papers, and 180+ papers have been indexed by SCIE, and SCI cited time is 2000+. He received the best paper awards 12 times. He is a member of Chinese Instrument and Control Association, IEEE senior member, Chair of IEEE Nanjing Section Robotics and Automation Society Chapter. He serves as Associate Editor for 5 SCIE indexed Journals, and served as Chair or Co-Chair of 30+ International Conference/Symposium. He was recipient of the second prize of the National Scientific and Technological Progress in 2017, and recipient of the National Outstanding Youth Fund of National Natural Science Foundation of China.
Prof. Hao Luo, Harbin Institute of Technology, China
Biography: Prof. Dr.-Ing. Hao Luo received his B.E. degree in electrical engineering from Xi’An Jiaotong University, China, in 2007, M.Sc. degree in electrical engineering and information technology from University of Duisburg-Essen, Germany, in 2012, and the Ph.D. degree at the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany, in 2016. He is currently an associate professor in School of Astronautics, Harbin Institute of Technology, China. His research interests include model-based and data-driven intelligent process monitoring and performance optimization, as well as their plug-and-play applications to industrial control systems. He currently serves as Associate Editor of IEEE Trans. on Artificial Intelligence and IEEE Access, as well as Guest Editor of IEEE Trans. on Industrial Informatics.
Prof. Zhiwei Gao, Northumbria University, United Kingdom
Biography: Zhiwei Gao works with the Faculty of Engineering and Environment in the University of Northumbria at Newcastle, UK, as a Reader, and Head of Electrical Power and Control Systems Research Group. His research interests include condition monitoring and fault diagnosis, fault tolerant control, model-based methods, machine learning and data-driven approaches, and their applications in power converters, and wind turbine energy systems. Dr. Gao is the academic editor or editorial member over 10 referred journals, such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, and Renewable Energy etc.
Prof. Jangmyung Lee, Pusan National University, Korea
Biography: Jangmyung Lee has been a Professor at the Department of Electronics Engineering, Pusan National University since 1992, where he is currently a director for the robotics research center, SPENALO. He received the B.S. and the M.S. degrees in electronics engineering from Seoul National University in 1980 and 1982, respectively and the Ph.D. degree in computer engineering from University of Southern California in 1990. He is currently leading a research laboratory working on intelligent robots (http://robotics.pusan.ac.kr). His current research interests include intelligent robotic systems, integrated manufacturing systems, cooperative control and sensor fusion. Dr. Lee is an IEEE Senior member, and a fellow of ICROS. He served as a president of Korean Robotics Society in 2010 and as a vice-president of ICROS and IEIE several years. He was the general chair for IEEE AIM 2015, IEEE ICIT 2014, ICIRA 2013 and ICT-ROBOT 2017. He has several awards including the presidential award for the contribution to robotics in 2015.
Keyntoe Speakers-RCAE 2020
Prof. Maria Pia FANTI (IEEE Fellow)
Polytechnic of Bari, Italy
Biography: Maria Pia Fanti (IEEE Fellow) received the Laurea degree in electronic engineering from the University of Pisa, Pisa, Italy, in 1983. She was a visiting researcher at the Rensselaer Polytechnic Institute of Troy, New York, in 1999. Since 1983, she has been with the Department of Electrical and Information Engineering of the Polytechnic of Bari, Italy, where she is currently a Full Professor of system and control engineering and Chair of the Laboratory of Automation and Control. Her research interests include discrete-event systems, Petri net, consensus protocols, fault detection, management and modeling of complex systems, such as logistics, production and healthcare systems. She has published +280 papers and two textbooks on these CFP. Prof. Fanti is General Chair of the 2019 IEEE International Conference on Systems, Man, and Cybernetics and was General Chair of the 2011 IEEE Conference on Automation Science and Engineering and of the IFAC Workshop on Dependable Control of Discrete Systems 2009. She is Editor of the IEEE Trans. on Automation Science and Engineering and Associate Editor of the IEEE Trans. on Systems, Man, and Cybernetics: Systems, member at large of the Board of Governor of the IEEE SMC Society, of the AdCom of IEEE Robotics and Automation Society, and Chair of the TC on Automation in Logistics of the IEEE Robotics and Automation Society.
Title: Enabling Technologies of Industry 4.0 for Manufacturing and Logistics Systems
Abstract: Manufacturing and logistics systems of the future are expected to provide resource-efficient, sustainable, safe, equitable and timely handling of goods and management services for the benefit of economy and society, in order to support global supply chains and multimodal transportation systems. The increasing availability of artificial intelligence technologies, such as remote sensing, information and communication tools, big data, blockchain, Internet of Things and machine learning, can capture, elaborate and communicate historical and real-time data and provide opportunities for establishing cloud-based and collaborative logistic and manufacturing ecosystems.
This talk will present how automation science and the enabling technologies of Industry 4.0 have potential to enhance the performance of logistic and manufacturing systems by providing novel, integrated hardware and software solutions.
Moreover, the talk will consider innovative management techniques based on the modern communications, remote sensing and automation technologies, that are suitable for helping stakeholders and decision makers to manage and optimize logistic and manufacturing systems. Hence, the presentation will focus on the design of cloud-based platforms and Decision Support Systems enabling the integration of supply-chain-related transport processes through logistics artificial intelligence solutions. In this context, some results obtained in European projects frameworks will be discussed.
Prof. Huosheng Hu
University of Essex, UK
Biography: Huosheng Hu is a Professor in the School of Computer Science and Electronic Engineering at the University of Essex, U.K. and head of the Robotics and Mechatronics Group. He received the MSc degree in industrial automation from the Central South University in China and the PhD degree in robotics from the University of Oxford in the U.K. His research interests include behaviour-based robotics, human-robot interaction, service robots, embedded systems, data fusion, learning algorithms, mechatronics, and cloud computing. He has published over 500 papers in journals, books and conferences in these areas, and received a number of best paper awards. His Google Scholar citations is 13652, H-index 54, i10-index 260. Prof. Hu is a Fellow of Institute of Engineering & Technology, a Fellow of Institute of Measurement & Control, and a founding member of IEEE Robotics & Automation Society Technical committee on Networked Robots. He has been a Program Chair or a member of Advisory/Organising Committee for many international conferences such as IEEE IROS, ICRA, ICMA, ROBIO conferences. He is currently Editor-in-Chief for International Journal of Automation and Computing, as well as Executive Editor for International Journal of Mechatronics & Automation.
Title: Who will control the world -- Human or Robot?
Abstract: After recent advancement of AI and robotics technologies, autonomous robots are gradually serving us in our home, hospital, office and everywhere. They are intelligent and interactive, inspired from behaviour demonstration of biological systems. Many people are worry about the risk of losing the jobs to robots, and some people thought these intelligent robots may control us in the future. In this talk, I will firstly outline a brief evolution history of AI and robotics technologies, and then their future trend is predicted in some depth. Some milestone robotic projects in the world and the robotics research work done at Essex will be presented, including behaviour modelling, sensor data fusion and behaviour-based control. Finally, my Keynote Speech will deliver a conclusion that humans will control the world and robots will be good servants to us.