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Socio-Technical Futures Lab – Machine Vision

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)

Socio-Technical Futures Lab – Augmented Reality and Virtual Reality: AR/VR

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)

Socio-Technical Futures Lab – Recommendation Systems and Data

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)

Low-latency robotic imaging for fast driving, flight and manipulation

This work will develop new low-latency visual perception systems, enabling unprecedented levels of robotic autonomy where response time is critical. more...

Supervisor(s): Dansereau, Donald (Dr)

Developing new imaging devices to help robots see and do

This work will develop specialised imaging devices to improve robotic perception in challenging conditions. more...

Supervisor(s): Dansereau, Donald (Dr)

5D light field video processing for robust robotic vision

This work will develop algorithms that enable robots to benefit from the rich information captured by emerging light field video cameras. more...

Supervisor(s): Dansereau, Donald (Dr)

Long-range robotic imaging in participating media

This project will push the limits of long-range vision in participating media including fog and water, expanding the range of conditions under which robots can be safely deployed. A more...

Supervisor(s): Dansereau, Donald (Dr)

Using machine learning to give robots new kinds of visual sensing

This work will develop the machine learning techniques and principles needed for robots to automatically interpret and benefit from a broad range of emerging imaging technologies. more...

Supervisor(s): Dansereau, Donald (Dr)

Whole-system robotic perception: From photons to actions

This work will build two-way information flows between the imaging, mapping, and control systems of a robot, allowing operation in previously inaccessible dynamic and interactive sp more...

Supervisor(s): Dansereau, Donald (Dr)

Gene editing of human stem cells and to better understand chronic pain disease

This project involves the use of human stem cells to generate pain sensing neurons and CRISPR gene editing to identify new pain killers. A complimentary scholarship for this pr more...

Supervisor(s): Neely, Greg (Professor)