Place-informed Robotics and Autonomous Vehicles

There is great potential for improving many of the capabilities of robots and autonomous vehicles by using spatial information – both specific information about where they are in the environment, but also contextual spatial information – “in a forest” versus “in a city”. These spatially-informed capabilities include terrain traversability detection, object recognition, vulnerable road user detection and localization and place recognition itself.

We are seeking PhD students interested in investigating this topic area.

This topic area has potential for collaborations with a number of research and industry / government partners, including QUT’s Centre for Accident Research and Road Safety.