Our Centre will achieve breakthrough science and technology in robotic vision by addressing five key research programs. Each program operates a portfolio of projects all focused on developing and integrating robotic vision into a viable technology that will enhance our lives and extend our capabilities.
Robots that see in all conditions
Robots that see and understand
Robots that see to act, and act to see
Robots that learn and improve
Robots that are fast and low cost
The Centre’s research projects are each headed by a Chief Investigator or Senior Research Fellow. Each individual project has a clear objective, with milestones and deadlines. A project team comprises a leader, with a staff of Research Fellows (RF), Associate Investigators (AI), PhD researchers, and Chief Investigators (CI). The litmus test for any Centre project is whether it will develop a technology that demonstrates the capability of robotic vision that can be demonstrated by a robot, ensuring it will deliver an outcome that is relevant to the Centre’s vision.
All new projects are established through our Research Committee, which determines the project’s duration, staffing and other resourcing matters. Project leaders represent their project teams in Research Committee meetings, presenting results and updating the committee on progress. The Research Committee’s role is to ensure project progress, resolve resourcing issues and determine when projects should continue or close.
Activity Plan for 2018
We are creating a vibrant, high energy, future-focused, collaborative robotic vision community developing knowledge leaders for both industry and academia
- Develop the next generation of robotic vision experts through effective recruitment, retention and training
- Ensure the Centre functions as a cohesive organisation of interactive, collaborative and highly effective research teams
We solve innovation challenges by applying robotic vision technologies to transform the world
- Demonstrate how research can advance products and services
- Generate downstream investment to take robotic vision technology into industry
- Foster innovation, entrepreneurship and new enterprises to advance robotic vision
We are leading the world in transformational research in the new field of robotic vision
- Deliver internationally recognised research in robotic vision
- Create and implement projects based on collaboration and innovation that enhance research outcomes
We are bringing the disciplines of robotics and computer vision together to create new robotic vision technologies
- Connect research organisations, governments, industry and the private sector to build critical mass in robotic vision
- Lead robotic vision in Australia and overseas
We engage with people about the potential of robotic vision technologies by developing accessible robotic vision resources
- Identify and engage with key stakeholders on the potential applications of robotic vision
- Establish vibrant national & international robotic vision communities
- Increase robotic vision educational opportunities
New Class of Medical Robotics to Make Keyhole Surgery Safer
An international collaboration (headed by a partnership between QUT and the Centre) is endeavouring to develop new robotic imaging systems
Detecting hazards in challenging conditions
As the idea of autonomous vehicles becomes more of a reality, we need to know the on-board navigation systems are up for these challenges, which can present themselves at any time and with little warning.
Developing New Specialist Camera Equipment
Light field cameras are a new paradigm in imaging technology with the potential to greatly augment computer and robotic vision.
Don’t Trip! Automatic Safety Inspection for Trip Hazards on Construction Sites
Construction sites are dangerous places, with injuries and some fatalities each year. Trip hazards are an ever-present danger, and represent an interesting practical and scientific challenge.
What is Deep Learning and how does it work?
Imagine a world where Facebook automatically finds and tags friends in your photos; where Skype translates spoken conversations in real time. It may not be as far off as you think.
Internships and Deep Q networks
Fangyi Zhang is a third year PhD researcher in the centre. His research has been focusing on learning visuo-motor policies through reinforcement learning and transferring policies from simulation to the real world
Robust Visual Odometry in Underwater Environments
Autonomous underwater vehicles (AUVs) are increasingly being used for underwater surveys and to investigate archaeological finds.
Pepper: a peek into the future of social robotics
Pepper is the world’s first humanoid robot that can recognise emotions. Created by SoftBank Robotics, it also mimics human behaviours such as following the conversation around it by looking at whoever is speaking.
Revolutionising the health sector
The Australian Centre for Robotic Vision is leading the way in robotic research globally with a number of new applications and technologies that will revolutionise the health sector.