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Event

2–7 February 2020

Robotic Vision Summer School (RVSS) 2020

Overview


 

The Australian Centre for Robotic Vision presents the Robotic Vision Summer School (RVSS) in Canberra, Australia. The ability to see is the remaining technological roadblock to the ubiquitous deployment of robots into society. RVSS provides a premium venue for graduate students and industry researchers to learn about fundamental and advanced topics in computer vision and robotics. The summer school also provides a unique opportunity to experiment with computer vision algorithms on actual robotic hardware.

The summer school will be held at the Australian National University (ANU) campus in Canberra, from Sunday 2 February 2020 to Friday 7 February 2020.

The program incorporates both talks and practical sessions run by world leading researchers in robotics and computer vision. This is an international summer school which offers a tremendous opportunity to broaden educational experience and professional networks for attendees.

The program is targeted at the level of later-year Masters and new PhD students in the Australian system. Attendees are expected at minimum to have a background in computer/electrical engineering of a level of an undergraduate degree or equivalent experience. Mature students with non-standard backgrounds are welcome. Attendees will be expected to undertake team based computer programming tasks in the workshop activities. Later year higher degree students will still benefit from the in-depth technical talks and face-to-face meeting with world-recognised peers and are welcome to apply, however priority will be given to early year students if numbers are tight.

If you have any questions, please email: rvss@roboticvision.org

Venue and Transport


RVSS 2020 will be held at the Australian National University (ANU) in Canberra.

Transport to Venue

Coach transportation between Sydney and Canberra will be provided for Summer School participants. Transport for travellers flying in to Canberra will be confirmed shortly.

Registering at Venue

Delegates will be provided with conference name tags as proof of registration. Name tags should be worn to all events.

Accommodation

John XXIII College, Australian National University

Meals

All meals are included in the registration cost. If you have any special dietary or religious requirements, please advise us of these requirements through your registration form.

Clothing

The weather in Canberra can be variable.  Please ensure that you bring adequate clothing for both hot and cool weather, a hat and sunscreen.  You may wish to attend a range of social activities, so please bring appropriate comfortable clothing.

For More Information Please Read

RVSS 2020 – Information Booklet [to be uploaded closer to the date]

RVSS 2020 – Packing List [to be uploaded closer to the date]

Registration


*Registrations have now closed*

The school will be open to 80 qualified, motivated and pre-selected candidates. Master students, PhD students, post-docs, young researchers (both academic and industrial), and academic/industrial professionals are encouraged to apply.

Applications to attend RVSS 2020 must be received before Wednesday 18 December to receive the early-bird discount. Apply well before this date to guarantee your place and acquire your visa (allow 8-12 weeks). Applications received after 18 December will not be processed until 6 January due to the holiday break.

Pricing

RVSS 2020 Workshop TicketInclusions$AUD (Australian Dollars)
 Attendees [early-bird*]workshops, accommodation, meals and transport from Canberra$890
 Attendees [late†]workshops, accommodation, meals and transport from Canberra$950
 Attendees – No Accommodation [early-bird*]workshops, meals and transport from Canberra$715
 Attendees – No Accommodation [late†]workshops, meals and transport from Canberra$775
 Centre Attendees (includes partner institutions, chief investigators, research fellows, and Centre PhD students)workshops, accommodation, meals and transport from CanberraFees covered by the Centre
 Invited Speaker/Organiser (includes invited speakers, workshop organisers and conference committee)workshops, accommodation, meals and transport from CanberraFees covered by the Centre

* For applications received before (or on) 18 December 2019
† For applications received after 18 December 2019

Centre staff and students

All Centre-affiliated students are expected to attend RVSS in the first year of their PhD candidature. Later year Centre students should seek their supervisors’ approval before registering. Centre-affiliated staff who are presenting must still register. Other Centre staff should seek approval from their node leader before registering.

Non-attendance and refunds

If you are unable to attend RVSS for compassionate or legal reasons you must contact the organisers at rvss@roboticvision.org. Depending on the situation and how soon before the event, partial or full refunds may be possible.

Visa requirements

Please note that in order to be granted a visa to visit Australia you must demonstrate that you meet all the legislative requirements. It is strongly recommended that you apply for your visa 8-12 weeks prior to the event date. Details of visa application requirements are available on the Australian Department of Immigration’s website. The organisers are able to provide a letter of support for visa applications, but take no responsibility for visa application processes.

Program


 

RVSS 2020 program

Peter CorkeTom DrummondTom DrummondRavi GargPeter CorkeRavi GargRavi GargTom DrummondRobert Mahony



Workshop


 

To be announced

Speakers


Gregory Dudek

Gregory Dudek

McGill University

Gregory Dudek is a Professor with the School of Computer Science and a member of the McGill Research Centre for Intelligent Machines (CIM) and an Associate member of the Dept. of Electrical Engineering at McGill University. In 9/2008 he became the Director of the McGill School of Computer Science. Since 2012 he has been the Scientific Director of the NSERC Canadian Field Robotics Network (NCFRN): http://ncfrn.mcgill.ca He is the former Director of McGill’s Research Center for Intelligent Machines, a 25 year old inter-faculty research facility. In 2002 he was named a William Dawson Scholar. In 2008 he was made James McGill Chair. In 2010 he was awarded the Fessenden Professorship in Science Innovation. In 2010 he was also awarded the Canadian Image Processing and Pattern Recognition Award for Research Excellence and also for Service to the Research Community. He directs the McGill Mobile Robotics Laboratory.

Stefan Leutenegger

Stefan Leutenegger

Imperial College London

Stefan Leutenegger is a Senior Lecturer (USA equivalent Associate Professor) in Robotics at Imperial College London. He leads the Smart Robotics Lab at Imperial and co-leads the Dyson Robotics Lab with Prof. Andrew Davison. His research is centred around autonomous robot navigation: robots need dedicated sensing capabilities as well as algorithms for localisation inside a potentially unknown environment. This includes localisation and mapping with a suite of sensors, most importantly cameras, to be processed efficiently to yield accurate results at real-time.

Dana Kulić

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.

Donald Dansereau

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.

Peter Corke

Peter Corke

Queensland University of Technology

Peter Corke is a robotics researcher and educator. He is the distinguished professor of robotic vision at Queensland University of Technology, director of the ARC Centre of Excellence for Robotic Vision and Chief Scientist of Dorabot. 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.

Tom Drummond

Tom Drummond

Monash University

Professor Drummond is a Chief Investigator based at Monash. He studied a BA in mathematics at the University of Cambridge. In 1989 he emigrated to Australia and worked for CSIRO in Melbourne for four years before moving to Perth for his PhD in Computer Science at Curtin University. In 1998 he returned to Cambridge as a post-doctoral Research Associate and in 1991 was appointed as a University Lecturer. In 2010 he returned to Melbourne and took up a Professorship at Monash University. His research is principally in the field of real-time computer vision (ie processing of information from a video camera in a computer in real-time typically at frame rate), machine learning and robust methods. These have applications in augmented reality, robotics, assistive technologies for visually impaired users as well as medical imaging.

Ravi Garg

Ravi Garg

University of Adelaide

Ravi Garg is an Associated Research Fellow with the Australian Centre for Robotic Vision and is part of the Australian Centre for Visual Technologies at The University of Adelaide as senior research associate since April 2014. He is working with Prof. Ian Reid on his Laureate Fellowship project named “Lifelong Computer Vision Systems”. Prior to joining University of Adelaide, he finished his PhD from Queen Mary University of London under the supervision of Professor Lourdes Agapito where he worked on Dense Motion Capture of Deformable Surfaces from Monocular Video. His current research interest lies in building learnable systems with little or no supervision which can reason about scene geometry as well as semantics. He is exploring how far the visual geometry concepts can help current deep neural network frameworks in scene understanding. In particular, his research focuses on unsupervised learning for single view 3D reconstruction, visual tracking in monocular video and weakly or semi-supervised semantic reasoning in images or videos.

Robert Mahony

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.

Dylan Campbell

Dylan Campbell

Australian National University

Dylan joined the Centre as a Research Fellow at the Australian National University (ANU) in August 2018. Previously, he was a PhD student at ANU and Data61/CSIRO, where he worked on geometric vision problems, and a research assistant at Data61/CSIRO. Dylan received a BE in Mechatronic Engineering from the University of New South Wales. He has broad research interests within computer vision and robotics, including geometric vision and human-centred vision. In particular, he has investigated geometric sensor data alignment problems, such as camera localisation, simultaneous localisation and mapping, and structure from motion. He is currently looking at the problems of recognising, modelling, and predicting human actions, poses and human-object interactions with a view to facilitate robot-human interaction as part of a Centre project. You can view his personal website here.

Previous International Speakers

Previous International Speakers

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)

Organisers


Robert Mahony

Robert Mahony

Chief Investigator

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.

Carol Taylor

Carol Taylor

ANU Node Administration Officer

Carol Taylor is the Node Administration Officer at the Australian National University (ANU). She has previously worked in Administration at the ANU including the ARC Centre of Excellence for Free Radical Chemistry and Biotechnology within the Research School of Chemistry and at the Research School of Pacific Studies and the Australian College of Mental Health Nurses. Outside of work Carol enjoys spending time with her family, reading, dancing and having a cup of tea.

Dana Kulić

Dana Kulić

Associate Investigator

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.

Dylan Campbell

Dylan Campbell

Research Fellow

Dylan joined the Centre as a Research Fellow at the Australian National University (ANU) in August 2018. Previously, he was a PhD student at ANU and Data61/CSIRO, where he worked on geometric vision problems, and a research assistant at Data61/CSIRO. Dylan received a BE in Mechatronic Engineering from the University of New South Wales. He has broad research interests within computer vision and robotics, including geometric vision and human-centred vision. In particular, he has investigated geometric sensor data alignment problems, such as camera localisation, simultaneous localisation and mapping, and structure from motion. He is currently looking at the problems of recognising, modelling, and predicting human actions, poses and human-object interactions with a view to facilitate robot-human interaction as part of a Centre project. You can view his personal website here.

Shelley Thomas

Shelley Thomas

Communications Specialist

Shelley joined the Australian Centre for Robotic Vision as Communications Specialist in July 2018. Convinced that everyone has a story to tell, she’s our resident ‘Chatbot’ of sorts. Shelley brings 30 years’ experience in media and communications to the Centre from diverse roles across Australia and overseas, including in England, Africa, Hong Kong and the Galápagos Islands. She’s a Star Wars (not Trekkie) fan and dreams of a real-word Rosey robot, capable of washing and ironing… autonomously! When not sharpening her pencil, Shelley loves getting outdoors (and photographing it) with best mate, black Labrador, Josie. If you’ve got a question about the Centre or looking for story inspo, get in contact. Shelley.Thomas@qut.edu.au P: +61 7 3138 3265 M: +61 (0)416 377 444

Sponsors


Platinum Sponsor: Lockheed Martin Australia

Gold Sponsors: BHP and Monash University

Bronze Sponsors: Australian National University (ANU) and Queensland University of Technology (QUT)

For sponsor enquiries, please contact Katrina Tune via email at katrina.tune@roboticvision.org or call 0414 789 503.

 

 

 

Materials


 

Australian Centre for Robotic Vision
2 George Street Brisbane, 4001
+61 7 3138 7549