Australian Centre for Robotic Vision

The Australian Research Council have just awarded us $19M to establish a Centre of Excellence in Robotic Vision.  The centre will address some of the key challenges in enabling robots to use vision to operate in unstructured and dynamic environments alongside humans.

[ARC Announcement]

The work of the centre is organised into four research themes:

Robust Vision will develop new sensing technologies and robust algorithms that allow robots to use visual perception in all viewing conditions: night and day, rain or shine, summer or winter, fast moving or static.

Vision and Action will create new theory and methods for using image data for control of robotic systems that navigate through space, grasp objects, interact with humans and use motion to assist in seeing.

Semantic Vision will produce novel learning algorithms that can both detect and recognise a large, and potentially ever increasing, number of object classes from robotically acquired images, with increasing reliability over time.

Algorithms and Architectures will create novel technologies and techniques to ensure that the algorithms developed across the themes can be run in real-time on robotic systems deployed in large-scale real-world applications.

The centre has 13 Chief Investigators spread across 4 nodes at QUT (Admin org), ANU, U Adelaide and Monash.  I am the theme leader for Algorithms and Architectures as well as the node leader for Monash University.  I will also be involved in research within the other themes.

We will be advertising for PhD candidates and Post-doctoral researchers soon, so watch this space!