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Cited by
Cited by
Integration of GPS/INS/vision sensors to navigate unmanned aerial vehicles
MA Garratt, AJ Lambert, J Wang, S Han, JJ Wang, D Sinclair
Information Sciences 37 (B1), 963-970, 2008
Approaches for a tether-guided landing of an autonomous helicopter
SR Oh, K Pathak, SK Agrawal, HR Pota, M Garratt
IEEE Transactions on Robotics 22 (3), 536-544, 2006
Flight control of a rotary wing UAV using backstepping
B Ahmed, HR Pota, M Garratt
International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2010
State-of-the-art intelligent flight control systems in unmanned aerial vehicles
F Santoso, MA Garratt, SG Anavatti
IEEE Transactions on Automation Science and Engineering 15 (2), 613-627, 2017
Monocular vision-based real-time target recognition and tracking for autonomously landing an UAV in a cluttered shipboard environment
S Lin, MA Garratt, AJ Lambert
Autonomous Robots 41, 881-901, 2017
Multimodal fusion for objective assessment of cognitive workload: A review
E Debie, RF Rojas, J Fidock, M Barlow, K Kasmarik, S Anavatti, M Garratt, ...
IEEE transactions on cybernetics 51 (3), 1542-1555, 2019
Vision‐based terrain following for an unmanned rotorcraft
MA Garratt, JS Chahl
Journal of Field Robotics 25 (4‐5), 284-301, 2008
Visual–inertial navigation systems for aerial robotics: Sensor fusion and technology
F Santoso, MA Garratt, SG Anavatti
IEEE Transactions on Automation Science and Engineering 14 (1), 260-275, 2016
A comprehensive review of shepherding as a bio-inspired swarm-robotics guidance approach
NK Long, K Sammut, D Sgarioto, M Garratt, HA Abbass
IEEE Transactions on Emerging Topics in Computational Intelligence 4 (4 …, 2020
Towards real-time monocular depth estimation for robotics: A survey
X Dong, MA Garratt, SG Anavatti, HA Abbass
IEEE Transactions on Intelligent Transportation Systems 23 (10), 16940-16961, 2022
A strategy for safe 3D navigation of non-holonomic robots among moving obstacles
C Wang, AV Savkin, M Garratt
Robotica 36 (2), 275-297, 2018
Electroencephalographic workload indicators during teleoperation of an unmanned aerial vehicle shepherding a swarm of unmanned ground vehicles in contested environments
R Fernandez Rojas, E Debie, J Fidock, M Barlow, K Kasmarik, S Anavatti, ...
Frontiers in neuroscience 14, 40, 2020
An overview of insect-inspired guidance for application in ground and airborne platforms
MV Srinivasan, SW Zhang, JS Chahl, G Stange, M Garratt
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2004
Robust hybrid nonlinear control systems for the dynamics of a quadcopter drone
F Santoso, MA Garratt, SG Anavatti, I Petersen
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (8), 3059-3071, 2018
Biologically inspired vision and control for an autonomous flying vehicle
MA Garratt
The Australian National University, 2007
Palm: An incremental construction of hyperplanes for data stream regression
MM Ferdaus, M Pratama, SG Anavatti, MA Garratt
IEEE Transactions on Fuzzy Systems 27 (11), 2115-2129, 2019
Switching time-invariant formation control of a collaborative multi-agent system using negative imaginary systems theory
VP Tran, M Garratt, IR Petersen
Control Engineering Practice 95, 104245, 2020
PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles
MM Ferdaus, M Pratama, SG Anavatti, MA Garratt, E Lughofer
Information sciences 512, 481-505, 2020
Adding optical flow into the GPS/INS integration for UAV navigation
W Ding, J Wang, S Han, A Almagbile, MA Garratt, A Lambert, JJ Wang
Proc. of International Global Navigation Satellite Systems Society Symposium …, 2009
3D mapping for visualization of rigid structures: A review and comparative study
F Santoso, MA Garratt, MR Pickering, M Asikuzzaman
IEEE Sensors Journal 16 (6), 1484-1507, 2015
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