M.Garratt
Scholar

M.Garratt

Google Scholar ID: 4dQ1AtoAAAAJ
Professor, University of New South Wales
Robotics
Citations & Impact
All-time
Citations
4,185
 
H-index
34
 
i10-index
108
 
Publications
20
 
Co-authors
14
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Secured over AUD $7.7 million in external research funding
  • Chief Investigator on 33 externally funded grants
  • Served as Associate Editor for IEEE Transactions on Artificial Intelligence and IEEE Robotics and Autonomous Systems Letters
  • Published 22 book chapters, 106 journal articles, 158 conference papers, 26 preprints, 1 thesis, and 1 conference poster
  • Notable achievements: vision-based terrain following for unmanned helicopters, landing UAVs on moving deck simulators, and neural network-based helicopter control
Research Experience
  • Visual flight control
  • Advanced control including neural control, fuzzy logic, and adaptive control
  • Robotic swarming
  • Biologically inspired vision and control
  • Trusted autonomy
  • Current projects include autonomous UAV 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-organizing swarms of unmanned systems
Background
  • Research focuses on sensing, guidance, and control for autonomous systems
  • Expertise includes robotics, swarm robotics, unmanned aerial vehicles (UAVs), artificial intelligence, computer vision, and machine learning
  • Currently AI Theme Lead for the Defence Trailblazer Universities: Concept to Sovereign Capability initiative (>$200 million funding)
  • Senior Member of IEEE, Senior Lifetime Member of AIAA, and Member of the American Helicopter Society (AHS)
  • Former Chair (2017–2020) of the IEEE Computational Intelligence Society Task Force on Ethics and Social Implications of Computational Intelligence
  • Co-founder of the UNSW Canberra AI and Robotics (AIR) Group