Australian School of Robotic Systems
The inaugural Australian School of Robotic Systems (AUSROS) will bring together an exciting four-day lineup of lectures, workshops, and activities. AUSROS will focus on the fundamental science and transdisciplinary journeys that span across academia and industry in robotic systems.
We hope to see you in Sydney, Australia on July 2-5 2024.
Event Details
We welcome you to the inaugural Australian School of Robotic Systems (AUSROS) 2024.
Over four days at the University of Sydney Darlington Campus, attendees will get to hear from invited guest lecturers, academics, and industry professionals about the essential topics that enable the science, technology, and deployment of robotic systems.
We encourage participation from attendees from diverse backgrounds. AUSROS will be of particular interest to graduate students (PhD or Master’s), future graduate students, researchers in robotics (or related fields), professional R&D engineers in robotics (or related fields). The program will also allow attendees, guests, industry partners, and other stakeholders to have discussion and engagement sessions. Join like-minded attendees at AUSROS and learn to create and develop robot systems that pave the way towards a brighter future.
The inaugural edition of AUSROS will held this year at the University of Sydney, Darlington Campus in Sydney, Australia between July 2-5 2024. Attendees will have the opportunity to learn about the foundations of robotic systems, hear from high-profile guest speakers, and engage with stakeholders in industry and academia.
Foundational lectures will have expert researchers and renowned academics deliver hands-on talks on the basics of the elements of robotic systems – control, planning, perception, learning, and more.
Deep dive talks will have invited guest speakers cover a state-of-the-art domain of interest, drawing on the technical depth of specific topic. The exciting slate of invited speakers will be announced soon.
Industry engagement and panel discussions will bring together expert stakeholders from diverse academic and industry backgrounds to discuss the most compelling problems in robotic systems.
The detailed program is available here.
The program will feature renowned researchers to deliver exciting lectures.
- Guodong Shi
University of Sydney - Donald Dansereau
University of Sydney - Rahul Shome
Australian National University - Thierry Peynot
Queensland University of Technology - Hanna Kurniawati
Australian National University - Mitch Bryson
University of Sydney - Salah Sukkarieh
University of Sydney - Ian Manchester
University of Sydney - Tat-Jun Chin
University of Adelaide - Feras Dayoub
University of Adelaide - Salah Sukkarieh
University of Sydney - Stewart Worrall
University of Sydney - Gideon Billings
University of Sydney - Lachlan Toohey
University of Sydney
More details and content available in detailed program here.
This school is complementary to the Robotic Vision Summer School (RVSS) that is held annually in Australia’s summer months. We encourage students interested in robotic vision to visit rvss.org.au.
Dana Kulić
Monash University
Professor Dana Kulić develops autonomous systems that can operate in concert with humans, using natural and intuitive interaction strategies while learning from user feedback to improve and individualise operation over long-term use. In collaboration with Professor Elizabeth Croft, she pioneered systems to quantify and control safety during HRI based on both robot and human perception. Working with Professor Yoshihiko Nakamura at the University of Tokyo, she developed one of the first systems to implement continuous learning from demonstration. The system was a first step towards robots that can learn from non-experts, as it did not require the demonstrator to segment or scaffold their demonstration.
Her research in rehabilitation technology enables highly accurate, non-invasive, measurement of human movement, which can be deployed in industrial settings for accurate measurement of operator movement. She has served as the Global Innovation Research Visiting Professor at the Tokyo University of Agriculture and Technology, and the August-Wilhelm Scheer Visiting Professor at the Technical University of Munich. Before coming to Monash, Professor. Kulić established the Adaptive Systems Lab at the University of Waterloo, and collaborated with colleagues to establish Waterloo as one of Canada’s leading research centres in robotics. She has led a number of large research projects and collaborations with industry and user groups, including a strategic project grant in collaborative assembly and multiple grants developing automation for rehabilitation.
Since 2019, Dr. Kulić is a professor and director of Monash Robotics at Monash University, Australia. In 2020, Dr. Kulić was awarded the ARC Future Fellowship. Her research interests include robot learning, humanoid robots, human-robot interaction and mechatronics.
Stefan Leutenegger
Technical University of Munich
Prof. Leutenegger’s (*1983) field of research is the area of mobile robotics, with focus on robot navigation through potentially unknown environments. He develops algorithms and software, which allow a robot (e.g. drone) using its sensors (e.g. video) to reconstruct 3D structure as well as to categorise it with the help of modern Machine Learning (including Deep Learning). This understanding enables safe navigation through challenging environments, as well as the interaction with it (including humans).
Prof. Leutenegger has been Assistant Professor (Tenure Track) at TUM since 2021. Before, he was Lecturer (since 2014) and Senior Lecturer (since 2018) at Imperial College London, where he was part of the Dyson Robotics Lab, and where he has later established the Smart Robotics Lab. Prof. Leutenegger has received his PhD in 2014 from ETH Zurich working on Unmanned Solar Airplanes including their navigation and control in Prof. Roland Siegwart’s Autonomous Systems Lab. Previously, he received BSc (2006) and MSc (2009) in Mechanical Eng. from ETH.
Tom Drummond
University of Melbourne
Professor Drummond is the Melbourne Connect Chair of Digital Innovation for Society at the University of Melbourne. Prior to July 2021, 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. Prior to September 2010, he was a University Senior Lecturer at the University of Cambridge. His research interests include Artificial Intelligence, Machine Learning, High Performance Computing and Computer Vision, with a particular emphasis on real-time systems for Augmented Reality, Robotics and Assistive Technologies. He has received the Könderink prize and the ISMAR 10 year impact award for his research and has been awarded ARC and EU Framework research grants totalling in excess of $35M AUD as well as numerous funded industry collaborations.
Early bird registration rates
Students and university staff: $300
General registration: $2000
ARIAM students & research staff: free
ARIAM industry partners: 2 free registrations + $600 thereafter
REGISTRATION CLOSED.
..
All the lectures and talks will be conducted in Lecture Theatre 2 of the PNR Building, University of Sydney.
Lecture Theatre 2 is on the first floor and is most easily accessible via stairs located on the building’s exterior. Please note the directions below from the Maze Cres street level. Find it on Google Maps here.
Program Committee
- Guodong Shi
University of Sydney - Donald Dansereau
University of Sydney - Rahul Shome
Australian National University - Thierry Peynot
Queensland University of Technology - Hanna Kurniawati
Australian National University - Mitch Bryson
University of Sydney - Salah Sukkarieh
University of Sydney - Ian Manchester
University of Sydney - Bridget De Pelleport
University of Sydney
Advisory Group
- Dimity Miller
Queensland University of Technology - Niko Suenderhauf
Queensland University of Technology - Ellie Lauritsen
University of Sydney
Organiser Email