2022 Speakers

 

  • Danica Kragic 

    Royal Institute of Technology (KTH)

    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 and INRIA Rennes. She is the Director of the Centre for Autonomous Systems. Her research is in the area of robotics, computer vision and machine learning.

  • Timothy Barfoot

    University of Toronto 

    Timothy Barfoot received the B.A.Sc. degree in engineering science from the University of Toronto in 1997 and a PhD degree in aerospace science and engineering in 2002. He is a Professor with the University of Toronto Institute for Aerospace Studies (UTIAS) in Canada where he works in the areas of guidance, navigation, and control of mobile robots in a variety of applications. Tim is interested in developing methods to allow mobile robots to operate over long periods of time in large-scale, unstructured, three-dimensional environments, using rich on board sensing (e.g., cameras and laser rangefinders) and computation.

  • Peter Corke

    Queensland University of Technology

    Peter Corke is a robotics researcher and educator. He is a Distinguished Professor  at Queensland University of Technology and Director of the QUT Centre for Robotics. He was also the Director of the ARC Centre for Robotic Vision between 2014 – 2021. His research is concerned with enabling robots to see, and the application of robots to mining, agriculture and environmental monitoring. He created widely used open-source software for teaching and research, wrote the best selling textbook “Robotics, Vision, and Control”, created several MOOCs and the Robot Academy, and has won national and international recognition for teaching including 2017 Australian University Teacher of the Year. He is a fellow of the IEEE, the Australian Academy of Technology and Engineering, the Australian Academy of Science; former editor-in-chief of the IEEE Robotics & Automation magazine; founding editor of the Journal of Field Robotics; founding multi-media editor and executive editorial board member of the International Journal of Robotics Research; member of the editorial advisory board of the Springer Tracts on Advanced Robotics series; recipient of the Qantas/Rolls-Royce and Australian Engineering Excellence awards; and has held visiting positions at Oxford, University of Illinois, Carnegie-Mellon University and University of Pennsylvania. He received his undergraduate and masters degrees in electrical engineering and PhD from the University of Melbourne.

  • Donald Dansereau

    University of Sydney

    Dr Donald Dansereau is a Senior Lecturer in the School of Aerospace, Mechanical and Mechatronic Engineering, and the Perception Theme Lead for the Sydney Institute for Robotics and Intelligent Systems. His work explores how new imaging devices can help robots see and do, encompassing the design, fabrication, and deployment of new imaging technologies. In 2004 he completed an MSc at the University Calgary, receiving the Governor General’s Gold Medal for his pioneering work in light field processing. In 2014 he completed a PhD on underwater robotic vision at the Australian Centre for Field Robotics, followed by postdoctoral appointments at QUT and Stanford University. Donald’s industry experience includes physics engines for video games, computer vision for microchip packaging, and chip design for automated electronics testing.

  • Tom Drummond

    University of Melbourne

    Professor Drummond is the Melbourne Connect Chair of Digital Innovation for Society at the University of Melbourne. Prior to that he was Head of Department of Electrical and Computer Systems Engineering at Monash University, where he was also Chief Investigator and Monash Node Leader for the ARC Centre of Excellence in Robotic Vision and prior to September 2010, he was a University Senior Lecturer at the University of Cambridge.

    His research interests include High Performance Computing, Machine Learning and Computer Vision, with a particular emphasis on real-time systems for Augmented Reality, Robotics and Assistive Technologies. He has been awarded the Könderink prize and the ISMAR 10 year impact award. He has been awarded ARC and EU Framework research grants totalling in excess of $35M AUD as well as numerous funded industry collaborations.

  • Robert Fitch

    University of Technology Sydney

    Professor Robert Fitch is a leading research scientist in the area of autonomous field robotics. He is interested in systems of outdoor robots and their use in addressing key problems in applications including agriculture and environmental monitoring. Robert received his PhD in computer science from Dartmouth (USA) and worked as a Senior Research Fellow with the Australian Centre for Field Robotics (ACFR) at The University of Sydney before joining UTS. He has led research in planning and collaborative decision-making for both ground and aerial robots in a variety of government and industry sponsored projects including those in broad-acre agriculture, horticulture, bird tracking, and commercial aviation.

  • Dana Kulić

    Monash University

    Dana Kulić received the combined B. A. Sc. and M. Eng. degree in electro-mechanical engineering, and the Ph. D. degree in mechanical engineering from the University of British Columbia, Canada, in 1998 and 2005, respectively. From 2006 to 2009, Dr. Kulić was a JSPS Post-doctoral Fellow and a Project Assistant Professor at the Nakamura-Yamane Laboratory at the University of Tokyo, Japan. In 2009, Dr. Kulić established the Adaptive System Laboratory at the University of Waterloo, Canada, conducting research in human robot interaction, human motion analysis for rehabilitation and humanoid robotics.  Since 2019, Dr. Kulić. is a professor at Monash University, Australia. Her research interests include robot learning, humanoid robots, human-robot interaction and mechatronics.

  • Simon Lucey

    University of Adelaide

    Simon Lucey (Ph.D.) is a professor in the School of Computer Science at the University of Adelaide, where he is the Director of the Australian Institute of Machine Learning (AIML). Prior to this he was an associate research professor at Carnegie Mellon University’s Robotics Institute (RI) in Pittsburgh USA. From 2017-2020, he was a principal scientist at the autonomous vehicle company Argo AI and spent time at the CSIRO (2009-2014). He has received various career awards including an ARC Future Fellowship (2009-2013). Simon’s research interests span computer vision, machine learning, and robotics. He enjoys drawing inspiration from AI researchers of the past to attempt to unlock computational and mathematic models that underlie the processes of visual perception.

  • Robert Mahony

    Australian National University

    Robert Mahony is a Professor in the Research School of Engineering at the Australian National University. He received his BSc in 1989 (applied mathematics and geology) and his PhD in 1995 (systems engineering) both from the Australian National University. He is a fellow of the IEEE and was president of the Australian Robotics Association from 2008-2011. His research interests are in non-linear systems theory with applications in robotics and computer vision. He is known for his work in aerial robotics, geometric observer design, matrix subspace optimisation and image based visual servo control.

  • Ian Reid

    University of Adelaide

    Ian Reid is an Australian Laureate Fellow, Fellow of the Australian Academy of Technological Sciences and Engineering (ATSE), former Rhodes Scholar, and Professor of Computer Science at the University of Adelaide. He was the Deputy Director, University of Adelaide Node Leader and leader of the Semantic Representations research program of the ARC Centre of Excellence for Robotic Vision between 2014 – 2021. His research interests range across computer vision and are currently focused on life-long visual learning, and developing high-level representations for image and video understanding, especially those that can be computed and queried sufficiently rapidly to enable real-time robotic decision making and control. He has previous published widely in areas such as active vision, visual SLAM, visual geometry, human motion capture and intelligent visual surveillance. He has published over 293 papers on these topics in major journals and refereed conferences, has more than 16,000 citations and a h-index of 65. He is a member of the Australian Academy of Science (AAS) National Committee for Information and Communication Sciences, Interim co-chair for the AAS Future of Autonomous Systems, and General Chair for the 14th Asian Conference on Computer Vision (ACCV) to be held in Perth, Australia in December 2018. He has previously served on the editorial boards of IEEE T-PAMI, Computer Vision and Image Understanding, and Image and Vision Computing Journal, and has led a number of EU, UK and Australian Research Council sponsored research projects. He was the driving force behind the Centre’s successful LIEF (Linkage Infrastructure Equipment and Facilities) grant awarded by the Australian Research Council in 2016 for a new deep learning supercomputer to power the Centre needs to train deeper and larger models and to handle large numbers of parameters and big data.

  • Previous International Speakers

    2021

    Hanna Kurniawati (Australian National University)
    Gamini Dissanyake (University of Technology Sydney)
    Fabio Ramos (University of Sydney)

    2020

    Tobi Delbruck (ETH Zurich and The Institute of Neuroinformatics, Zurich)
    Stefan Leutenegger (Imperial College London)
    Donald Dansereau (University of Sydney)

    2019
    Laura Leal-Taixé (Technical University of Munich)
    Seth Hutchinson (Georgia Institute of Technology)
    Jose Neira (University of Zaragoza)
    Silvere Bonnabel (Mines ParisTech)
    Tarek Hamel (University of Nice Sophia Antipolis)

    2018
    Margarita Chli (ETH Zurich)
    Vincent LePetit (University of Bordeaux)
    Yarin Gal (University of Oxford)
    Andrea Cherubini (University of Montpellier)

    2017
    Davide Scaramuzza (University of Zurich)
    Simon Lucey (Carnegie Mellon University)
    Javier Civera (University of Zaragoza)
    Sebastien Rougeaux (Seeing Machines)

    2016
    Frank Dellaert (Georgia Institute of Technology)
    Jana Kosecka (George Mason University)
    Paul Newman (University of Oxford)

    2015
    Raquel Urtasun (University of Toronto / Uber)
    Andrew Davison (Imperial College London)
    Fredrik Kahl (Chalmers University of Technology)
    Lourdes De Agapito Vicente (University College London)