Conference Speakers
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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.
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