We welcome industry collaborations in this field. For more information about collaborating with our team, please contact us.


Semi-automated power pole inspection

We have developed an autonomy package to ensure that human-piloted inspection drones do not collide with poles, cross arms and wires.

[COMPLETED] How automated vehicles will interact with road infrastructure

QUT researchers who took an Artificial Intelligence (AI) system on a south-east Queensland road trip have identified the key role high-definition annotated maps will likely play in autonomous driving on Australian roads.

Visual Place Recognition for Robotics in Extreme Environments

This project is conducting research on visual place recognition for ground-based robots in extreme environments, such as underground mining and nuclear decommissioning scenarios.