Matt Garratt

Matthew Garratt is a seasoned professor in the Trusted Autonomy Group at UNSW Australia with a strong background in research focusing on sensing, guidance, and control for autonomous systems.

With over $4.7 million in research funding, he has been Chief Investigator on 24 external grants, leading 2 ARC research grants. His research successes range from terrain following using vision for unmanned helicopters to controlling helicopters with neural networks.

Current research projects include achieving autonomous flight in cluttered environments, landing UAVs on moving platforms, formation satellite control, and more. Matt is affiliated with esteemed organizations like American Institute of Aeronautics and Astronautics, IEEE, American Helicopter Society, and Australian Association for Unmanned Systems.

His research experience spans Visual Flight Control, Advanced control mechanisms, Obstacle avoidance, Biologically inspired vision and control, Trusted Autonomy, and more. In terms of teaching, his expertise lies in Control Theory, Rotorcraft Engineering, Aerodynamics, and Flight Mechanics.

Matthew Garratt holds a Ph.D. in Robotics from The Australian National University, a First Class Honours Bachelor's Degree in Aerospace, Aeronautical and Astronautical Engineering from the University of Sydney, and attended Nowra High School. He has held positions such as Professor at UNSW Canberra at ADFA, Research Associate at the Australian National University, Consultant at LEAP Australia, and Aeronautical Engineering Officer at the Royal Australian Navy.