Dragonfly technology provides pinpoint accuracy and super speed
Dragonflies are one of nature鈥檚 most effective predators. They can target, chase and capture their prey with an amazing 95 per cent hit rate.
Our researchers were first to discover how the dragonfly can focus on a single moving target, shutting out all distractions.
Now we have found a way to adapt dragonfly nerve cell functions to machine learning technology, with multiple applications in defence industries.
Our computer scientists, neuroscientists and mechanical engineers combined forces to develop a unique algorithm that copies the insect鈥檚 visual tracking ability.
Virtual reality testing has now shown that this autonomous pursuit algorithm runs 20 times faster than comparable algorithms developed elsewhere, while matching their accuracy. This means it requires far less relative processing power and is far more efficient.
The alogorithm has already been put to good use by mechanical engineering researchers developing autonomous pursuit robots.
Lead researcher Dr Steven Wiederman鈥檚 team has also emulated the dragonfly鈥檚 ability to predict where its prey will travel, which enables it to set up an ambush.
This has led to further collaboration with the University鈥檚 of Adelaide鈥檚 Australian Institute for Machine Learning to develop drone-tracking systems.
鈥淲e鈥檙e excited to further define the principles underlying neuronal processing,鈥 Dr Wiederman says.
鈥淭ranslating them into advanced artificial vision systems could result in some incredibly effective autonomous robotics and drones.鈥
He believes there are many more potential applications for our innovative technology, including neuronal prosthetics to improve the lives of people with brain impairments or damaged nervous systems.
鈥淭he possibilities are revolutionary,鈥 according to robotic vision specialist Professor Ian Reid.
鈥淎rtificial neural networks, together with vast computing power and data volume, have enabled step-change in the level of intelligence machine learning can achieve.鈥
Bringing together researchers from diverse fields has multiplied the benefits by compounding our expertise and opening up new opportunities.
Featured researcher
Director of the Australian Institute for Machine Learning
Division of Research and Innovation
Featured researcher
Deputy Director of the Australian Research Council Centre of Excellence for Robotic Vision
Head, School of Computer Science
Faculty of Sciences, Engineering and Technology聽
Featured researcher
School of Mechanical Engineering
Faculty of Sciences, Engineering and Technology聽
Featured researcher
Visual Physiology and Neurobotics Laboratory
Adelaide Medical School
Faculty of Health and Medical Sciences