Professors Eduardo Mario Nebot
Professors Eduardo Mario Nebot


Department of Electronics Engineering

Patrick Chair in Automation and Logistics
Director, Australian Centre for Field Robotics
School of Aerospace, Mechanical and Mechatronic Engineering

The University of Sydney, Australia



Eduardo Mario Nebot received the Bachelor's degree in Electrical Engineering from the Universidad Nacional del Sur, (Argentina) and MS and PhD degrees from Colorado State University, USA. He is currently a Fellow of IEEE and Fellow of the Australian Academy of Technological Sciences and Engineering (FTSE).


He is a Professor at the University of Sydney in the School of Aerospace, Mechanical and Mechatronic Engineering. He has been appointed as the Patrick Chair of Automatic and logistic in 2004 and he is the Director of the Australian Centre for Field Robotics. Professor Nebot has a substantial track record in robotics and automation. He has published more than 300 Referee Conference and Journal publications and given a large number of keynotes and industrial presentations. The major impact of his fundamental research is in autonomous system, navigation, safety and intelligent transport systems. Over the past 15 years, he has managed a large number industrial collaboration research projects in the area of Field Robotics. His fundamental research contributions are having a significant impact in the profession. They are already part of new key autonomous technologies deployed in various industrial environments such as stevedoring, cargo handling and urban road vehicles. He is currently leading various industry collaborative research projects in driverless vehicle with Ford US, Renault France and Applied EV Australia. His research group is having an active role in the deployment of new innovative technology in the intelligent transport area involving smart vehicles.



How new Development of Autonomous Systems will shape the futureļ¼Ÿ



During the last 15 years, we have seen significant progress in many areas related to sensing, navigation, control, planning and machine learning. Fundamental research contributions in these areas have enabled the development and deployment of autonomous system. This keynote will present the fundamental problems that have been solved to enable the successful deployment of robotic automation in industrial environments. It will also present current projects in the intelligent transport system area and an overview of the fundamental research challenges facing future autonomous applications in more complex scenarios, such as urban vehicle automation.