1. Research organisations

2. Goals
     Robust vision    Vision and action    Semantic vision    Algorithms and Architectures  

3. References

The Australian Centre for Robotic Vision is an unincorporated collaborative venture with funding of $25.6m over seven years to pursue a research agenda tackling the critical and complex challenge of applying robotics in the real world.^[1]

The Centre notable won the 2017 Amazon Robotics Challenge, with their robot Cartman.

Research organisations

The Center is made up of an interdisciplinary team from four leading Australian universities

• Queensland University of Technology (QUT),
• The University of Adelaide (UoA),
• The Australian National University (ANU),
• Monash University, and

research organisations and international universities

• Data61 (previously known as NICTA or National ICT Australia Ltd),
• INRIA Rennes Bretagne,
• Georgia Institute of Technology,
• Imperial College London,
• The Swiss Federal Institute of Technology Zurich, and
• The University of Oxford.

Goals

The Centre aims to achieve breakthrough science and technology in robotic vision by addressing four key research objectives: robust vision, vision and action, semantic vision, and algorithms and architecture. Together the four research objectives form the Centre’s research themes, which serve as organisational groupings of the Centre’s research projects.^[3]

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.

References

• John Brophy (writer)
• John Browall
• John Broward Culpepper
• John Browere
• John brown
• John Brown (1723-1808)
• John Brown (1723–1808)
• John Brown Abercromby
• John Brown (Australian rules footballer)
• John Brown (bobsleigh)
• John Brown (bodybuilder)
• John Brown Clark
• John Brown (colonist)
• John Brown (cricketer, born 1862)
• John Browne (1696-1750)
• John Browne (1696–1750)
• John Browne (Fianna Fáil)
• John Browne (Fine Gael)
• John Brown Farm
• John Brown Farm and Gravesite
• John Brown (footballer, born 1893)
• John Brown (footballer, born 1944)
• John Brown Gun Club
• John Browning (died 1416)
• John Brown, Jr.