Robotics and Autonomous Systems
A new class of medical robotics
Our researchers are leading an international collaboration that will make keyhole surgery simpler, safer and cheaper.Grant to boost medical robotics
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
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
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
Australian Centre for Robotic Vision
Research Engineering Facility (REF)
Medical robotics facilities
- flying robots for large-scale infrastructure monitoring
- ground-based mobile robots for sustainable agricultural productivity
- crop harvesting robots
- on-water and underwater robots for environmental monitoring
- autonomous robots for optimised underground mining operations
- social and health-related applications for humanoid robots
- robots to help surgeons perform minimally invasive surgery.
- Digital Agriculture
- Quantitative Applied Spatial Ecology Group
- International laboratory for Air Quality and Health
- Bachelor of Engineering (Honours) (Mechatronics)
- Bachelor of Engineering (Honours) (Electrical and Aerospace)
The Category 1 funded research projects we are currently leading are:
Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity and impending labour shortages, however, the work and workplaces of our most important industries are unstructured and changeable, and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them.
Our research will create the fundamental science and technologies that will allow robots to "see" as we do, and overcome the last barrier to the ubiquitous deployment of robots into society for the benefit of all.
The role of strong duality in computer vision.
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.
Our discipline brings together a diverse team of experts who deliver world-class education and achieve breakthroughs in research. We invite you to connect with our staff community.
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).