The Australian Centre for Robotic Vision presents the Robotic Vision Summer School (RVSS) in a hybrid format and will include online live content and physical workshops. 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 from Monday 31 January to Friday 4 February 2022 and for the second year running it will adopt a COVID-19 compliant hybrid format. The core content will be delivered online and the workshop will be held in physical nodes – Adelaide, Brisbane, Canberra, Melbourne & Sydney. International nodes in the UK & Canada may be established depending on the level of interest.
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 the 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 at a level of an undergraduate degree or equivalent experience. Industry representatives and mature students with non-standard backgrounds, for whom this program is relevant are also welcome. There may be some undergraduate students in the later years of their degree which would also find the program of benefit. These students are welcome with the approval of their supervisor. 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.