Matt Garratt

Scholarships of over $37K AUD for domestic and international students are available for Masters and PhD by research in fields that I am involved with. Matt is currently the AI theme lead for the Defence Trailblazer Universities: Concept to Sovereign Capability initiative (>$200 million funding). Matt Garratt's research focuses on sensing, guidance and control for autonomous systems. He has received over $7.7 million in external research funding and has been Chief Investigator on 33 external grants. He has been associate editor for journals like the IEEE Transactions on Artificial Intelligence and IEEE Robotics and Autonomous Systems Letters. Matt was chair of the IEEE Computational Intelligence Society Task Force on the ethics and social implications of computational intelligence from 2017-2020 and remains as an active member. Some of his research successes include demonstration of terrain following using vision for an unmanned helicopter, landing an unmanned helicopter onto a moving deck simulator and control of helicopters using neural networks. Some of his current research projects include achieving autonomous flight in cluttered environments using monocular cameras and range sensors, landing UAVs on moving platforms, adaptive flight control for flapping wing and rotary wing vehicles, and self-organising swarms of Unmanned Systems. He is a co-founder of the UNSW Canberra AIR (AI in Robotics) Group: AIR Lab (air-cbr.github.io). He is senior lifetime member of the American Institute of Aeronautics and Astronautics (AIAA), senior member of the IEEE, and member of the American Helicopter Society (AHS). robotics, swarm robotics, unmanned aerial vehicle, artificial intelligence, Control engineering, mechatronics and robotics, Artificial intelligence, Computer vision, Machine learning