Hugh Durrant-Whyte Contact Qualifications Professional Employment Research Awards Projects Publications Teaching Administration Qualifications PhD in Systems Engineering, University of Pennsylvania, 1986. MSE in Systems Engineering, University of Pennsylvania, 1985. BSc (Eng) in Nuclear Engineering, 1st Class Honours University of London, 1983. Professional MIEEE Australian Robotics Network Employment 10/02-Current ARC Federation Fellow 1/99-10/02 Director, Australian Centre for Field Robotics 7/95-10/02 Professor of Mechatronic Engineering, Department of Aerospace, Mechanical & Mechatronic Engineering, The University of Sydney. 10/87-6/95 University Lecturer in Engineering Science, University of Oxford, Oxford, UK. Fellow of Oriel College Oxford. 10/86-9/87 Research Fellow, Department of Engineering Science, University of Oxford. Fellow of St Cross College, Oxford. 10/85-8/86 Research Assistant, Department of Computer and Information Science, The University of Pennsylvania. 7/79-8/83 Industrial Student, Rolls Royce and Associates (Nuclear), Derby. Research Interests My research focuses on two main areas; navigation of autonomous vehicles and senor data fusion. In navigation I pioneered the application of Kalman filter and target-tracking methods to the problem of robot localisation. This has had substantial impact in robotics; Many operational mobile robots now use these methods for localisation. I also introduced the revolutionary Simultaneous Localisation and Mapping (SLAM) method. Interest in SLAM is now exploding. My research work is now focused on general probabilistic SLAM problems appropriate to very unstructured, outdoor and underwater, environments. In data fusion I introduced and pioneered decentralised data fusion algorithms based on the information filter. While I initially undertook this work in the early 1990s, these algorithms are now being used as the theoretical underpinning for many new concepts in network-centric warfare systems. The ACFR now receives considerable funding from overseas defence companies in the UK and US for the development and implementation of this theory. New research work is broadening the scope of these methods to general information fusion problems. Awards and Prizes Business and Higher Education Award: Awarded by Department of Industry (Australia) for innovation in collaborative R&D. (2000) Best Paper Prize IEEE International Symposium on Robotics in Construction. (1999) Best Paper Prize IEEE Data Fusion Symposium. (1996) UK Engineer of the Year (Highly Commended) Awarded by the UK Manufacturing Industry Association. (1994) Best Paper Prize IEEE International Conference on Robotics and Intelligent Systems (IROS). (1993) Thouron Award For postgraduate study at the University of Pennsylvania, USA. (1983-1985) Drapers Award Best undergraduate performance at the University of London. (1981 and 1983) Projects Current Projects ANSER II Autonomous Herbicide-Free Weed Control Systems High Speed Manoeuvres Unmanned Agricultural Operations Past Projects CRC Mining Decision making w/ multiple robots GINTIC Publications Kaupp, T., Makarenko, A. & Durrant-Whyte, H.F. 'Human-robot communication for collaborative decision making - A probabilistic approach' Robotics and Autonomous Systems, vol. 5, no. 58, 2010, pp. 444 - 456 Douillard, B., Fox, Dieter, Ramos, F.T. & Durrant-Whyte, H.F. 'Classification and Semantic Mapping of Urban Environments' The International Journal of Robotics Research, no. In Press, 2010 O'Callaghan, S., Ramos, F.T. & Durrant-Whyte, H.F. 'Contextual occupancy maps incorporating sensor and location uncertainty' In Proceedings 2010 IEEE International Conference on Robotics and Automation Vasudevan, S., Ramos, F.T., Nettleton, E.W. & Durrant-Whyte, H.F. 'Gaussian process modeling of large scale terrain' Journal of Field Robotics, vol. Volume 26, no. 10, 2009, pp. 812-840 Barton, M., Robinson, P., Kumar, S., Galka, A., Durrant-Whyte, H.F., Guivant, J. & Ozaki, T. 'Evaluating the performance of Kalman-filter-based EEG source localization' IEEE Transactions on Biomedical Engineering, vol. Vol 56, no. Issue 1, 2009, pp. 122-136 Click here for full list Teaching Estimation and the Kalman Filter Multisensor Data Fusion Navigation Systems Design Decentralised Data Fusion SLAM Summer School Introduction to Data Fusion Introduction to Estimation and Data Fusion Test Course Title Administration Research Director: As Research Director, I am responsible for the strategic direction and planning of research at the Centre.