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 | 185 | 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 | 176 | 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 | 159 | 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 | 152 | 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 | 142 | 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 | 131 | 2019 |
Vision‐based terrain following for an unmanned rotorcraft MA Garratt, JS Chahl Journal of Field Robotics 25 (4‐5), 284-301, 2008 | 113 | 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 | 101 | 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 | 90 | 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 | 84 | 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 | 81 | 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 | 80 | 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 | 67 | 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 | 59 | 2018 |
Biologically inspired vision and control for an autonomous flying vehicle MA Garratt The Australian National University, 2007 | 58 | 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 | 56 | 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 | 55 | 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 | 55 | 2009 |
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 | 54 | 2020 |
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 | 52 | 2015 |