Robotics and Autonomous Systems
Technology for better naviagation in underground mines
Our researchers have developed new technology to equip underground mining vehicles to navigate autonomously through dust, camera blur and bad lighting, as part of a collaboration with Catepillar, Mining3 and the Queensland Government.Read the full story
Revolutionary robots to change how we manufacture
Meet the first in a new wave of robots that will revolutionise manufacturing among Australia’s small to medium size enterprises, creating more jobs locally. We're collaborating to create adaptable robots that can see what they’re working on and make on-the-fly decisions.Read the full story
Superstar of STEM
Chief Operating Officer of QUT-based Australian Centre for Robotic Vision, Dr Sue Keay, has been recognised as a Superstar of STEM by Science & Technology Australia (STA). Sue will be a mentor and role model for young women in science, technology, engineering and maths across Australia.Dr Keay's achievement
Amazon Robotics Challenge winners
QUT-based Australian Centre for Robotic Vision (ACRV) has grabbed the $80,000USD first prize at the 2017 Amazon Robotics Challenge in Japan.Read the full story
Robots and autonomous systems are changing the way we live, work and play.
They’re used in industries like health, transport, manufacturing, mining, agriculture, and even in energy and environmental sensing.
Our work focuses on the development of technology that can be used to improve our understanding and management of the world around us.
"I chose to study mechatronics as it focused on the design, control and interactions of both mechanical and electrical systems. By adding robotics as a second study area I gained further insight and depth. I’m now an automation engineer on working on control systems from individual robots to whole manufacturing lines."
"QUT’s focus on real work connections prepared me to enter the aerospace industry. I worked on unmanned aerial vehicles (UAVs) as part of a Vacation Research Experience Scheme project and while undertaking work experience at the Australian Research Centre for Aerospace Automation. As a graduate I have joined Airbus; one of the largest, international aerospace companies."
This project aims to develop a framework for unmanned aerial vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty.
Expected outcomes include enabling UAVs to solve multiple objectives under map and pose uncertainty in GPS-denied environments. This will provide significant benefits, such as more responsive disaster management, bushfire monitoring and biosecurity, and improved environmental monitoring.
Superhuman place recognition with a unified model of human visual processing and rodent spatial memory
Current robotic and personal navigation systems leave much to be desired; GPS only works in open outdoor areas, lasers are expensive and cameras are highly sensitive to changing environmental conditions. In contrast, nature has evolved superb navigation systems.
This project aims to solve the challenging problem of place recognition, a key component of navigation, by modelling the visual recognition skills of humans and the rodent spatial memory system.
This project looks to combine the best understood and most capable components of place recognition in nature to create a whole more capable than its parts, produce advances in robotic and personal navigation technology and lead to breakthroughs in understandings of the brain.
Are you looking to study at a higher or more detailed level? We are currently looking for students to research topics at a variety of study levels, including PhD, Masters, Honours or the Vacation Research Experience Scheme (VRES).View our topics
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