Associate Professor Matthew Garratt

Associate Professor
School of Engineering and Information Technology
UNSW Canberra Space
+61 2 5114 5150
+61 2 6268 8276

LOCATION

Room 216, Building 17
School of Engineering and IT
UNSW Canberra
Australian Defence Force Academy
Canberra ACT

  • ABOUT
  • PUBLICATIONS

Scholarships of $35K AUD for domestic and international students are available for Masters and PhD by research in fields that I am involved with. Please contact me for details.

Matt Garratt's research focuses on sensing, guidance and control for autonomous systems. He has received over $3million in research funding and has been Chief Investigator on 17 external grants, including lead CI on 2 ARC research grants. Matt is currently chair of the IEEE Computational Intelligence Society Task Force on the ethics and social implications of computational intelligence. He is an associate editor for the IEEE Transactions on Artificial Intelligence.

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, formation satellite control, adaptive flight control for flapping wing and rotary wing vehicles, Trusted Human-Autonomy Teaming in Teleoperations and Self-organising Unmanned Systems in Contested RF Environments.

Matt is a member of the Trusted Autonomy Group in the School of Engineering and IT.

He is senior lifetime member of the American Institute of Aeronautics and Astronautics (AIAA), senior member of the IEEE, member of the American Helicopter Society (AHS),  and member of the Australian Association for Unmanned Systems (AAUS).

See my publications and citations on Google Scholar

Research Experience

  • Visual Flight Control
  • Advanced control including neural control, fuzzy logic and adaptive control.
  • Obstacle avoidance and path planning
  • Structure from Motion
  • Biologically inspired vision and control
  • Trusted Autonomy

Teaching Experience

  • Control Theory
  • Rotorcraft Engineering
  • Aerodynamics
  • Flight Mechanics

Some of my publications can be downloaded at no charge from my Research Gate page at https://www.researchgate.net/profile/Matt_Garratt

Book Chapters

Al-Mahasneh AJ; Anavatti S; Garratt M; Pratama M, 2018, 'Applications of General Regression Neural Networks in Dynamic Systems', in Digital Systems, pp. 133 - 154, http://dx.doi.org/10.5772/intechopen.80258

Santoso F; Garratt M; Anavatti S, 2018, 'Fuzzy Systems for Modelling and Control in Aerial Robotics', in Er MJ; Wang N; Zhichao L; Pratama M (ed.), Intelligent Marine Vehicles Theory and Applications, Nova Science Publisher, New York, https://www.novapublishers.com/catalog/product_info.php?products_id=64339

Biswas S; Anavatti S; Garratt M, 2017, 'Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization', in Leu G; Singh HK; Elsayed S (ed.), Intelligent and Evolutionary Systems. Proceedings in Adaptation, Learning and Optimization 8, edn. Proceedings in Adaptation Learning and Optimization, © Springer International Publishing, Univ New S Wales, Canberra Campus, Australian Def Force Acad, Canberra, AUSTRALIA, pp. 61 - 74, http://dx.doi.org/10.1007/978-3-319-49049-6_5

Francis SLX; anavatti S; garratt M, 2013, 'Model based path planning module', in Sen Gupta G; Bailey D; Demidenko S; Carnegie D (ed.), Recent Advances in Robotics and automation, Springer-Verlag, Berlin Heidelberg, pp. 81 - 90, http://dx.doi.org/10.1007/978-3-642-37387-9_6

Journal articles

Al-Mahasneh AJ; Anavatti SG; Garratt MA, 2020, 'Self-Evolving Neural Control for a Class of Nonlinear Discrete-Time Dynamic Systems with Unknown Dynamics and Unknown Disturbances', IEEE Transactions on Industrial Informatics, vol. 16, pp. 6518 - 6529, http://dx.doi.org/10.1109/TII.2019.2958381

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA; Pan Y, 2020, 'Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles', IEEE Transactions on Fuzzy Systems, vol. 28, pp. 1542 - 1556, http://dx.doi.org/10.1109/TFUZZ.2019.2917808

Santoso F; Garratt MA; Anavatti SG; Petersen I, 2020, 'Robust Hybrid Nonlinear Control Systems for the Dynamics of a Quadcopter Drone', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, pp. 3059 - 3071, http://dx.doi.org/10.1109/TSMC.2018.2836922

Young J; Garratt M, 2020, 'Drones become even more insect-like', Science, vol. 368, pp. 586 - 587, http://dx.doi.org/10.1126/science.abb0064

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments', Frontiers in Neuroscience, vol. 14, http://dx.doi.org/10.3389/fnins.2020.00040

Tran VP; Garratt M; Petersen IR, 2020, 'Switching time-invariant formation control of a collaborative multi-agent system using negative imaginary systems theory', Control Engineering Practice, vol. 95, http://dx.doi.org/10.1016/j.conengprac.2019.104245

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA; Lughofer E, 2020, 'PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles', Information Sciences, vol. 512, pp. 481 - 505, http://dx.doi.org/10.1016/j.ins.2019.10.001

Long NK; Sammut K; Sgarioto D; Garratt M; Abbass HA, 2020, 'A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach', IEEE Transactions on Emerging Topics in Computational Intelligence, http://dx.doi.org/10.1109/TETCI.2020.2992778

Ferdaus MM; Anavatti SG; Pratama M; Garratt MA, 2020, 'Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review', Artificial Intelligence Review, vol. 53, pp. 257 - 290, http://dx.doi.org/10.1007/s10462-018-9653-z

Tran VP; Santoso F; Garratt M; Petersen IR, 2020, 'Fuzzy Self-Tuning of Strictly Negative-Imaginary Controllers for Trajectory Tracking of a Quadcopter Unmanned Aerial Vehicle', IEEE Transactions on Industrial Electronics, pp. 1 - 1, http://dx.doi.org/10.1109/tie.2020.2988219

Santoso F; Garratt M; Anavatti S, 2019, 'Robust Hybrid Feedback Linearization and Interval Type-2 Fuzzy Control Systems for the Flapping Angle Dynamics of a Biomimetic Aircraft', IEEE Transactions on Systems Man and Cybernetics: Systems, http://dx.doi.org/10.1109/TSMC.2019.2956735

Santoso F; Garratt M; Anavatti S; Hasanein ; Stenhouse T, 2019, 'Entropy Fuzzy System Identification for the Heave Flight Dynamics of a Model-Scale Helicopter', IEEE-ASME Transactions on Mechatronics, http://dx.doi.org/10.1109/TMECH.2019.2959279

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA, 2019, 'PALM: An Incremental Construction of Hyperplanes for Data Stream Regression', IEEE Transactions on Fuzzy Systems, vol. 27, pp. 2115 - 2129, http://dx.doi.org/10.1109/TFUZZ.2019.2893565

Santoso F; Garratt M; Anavatti S, 2019, 'T2-ETS-IE: Type-2 Evolutionary Takagi-Sugeno Fuzzy Inference Systems with the Information Entropy-Based Pruning Technique', IEEE Transactions on Fuzzy Systems, http://dx.doi.org/10.1109/TFUZZ.2019.2943813

Tran PV; Santoso F; Garratt M; Petersen I, 2019, 'Adaptive Second Order Strictly Negative Imaginary Controllers Based on the Interval Type-2 Fuzzy Self-Tuning Systems For a Hovering Quadrotor with Uncertainties', IEEE/ASME Transactions on Mechatronics, http://dx.doi.org/10.1109/TMECH.2019.2941525

Yazid E; Garratt M; Santoso F, 2019, 'Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi–Sugeno–Kang fuzzy logic autopilots', Applied Soft Computing Journal, vol. 78, pp. 373 - 392, http://dx.doi.org/10.1016/j.asoc.2019.02.023

Ferdaus MM; Anavatti SG; Garratt MA; Pratama M, 2019, 'Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle', Journal of Artificial Intelligence and Soft Computing Research, vol. 9, pp. 99 - 109, http://dx.doi.org/10.2478/jaiscr-2018-0027

Santoso F; Garratt M; Anavatti S, 2019, 'Hybrid PD-Fuzzy and PD Controllers for Trajectory Tracking of a Quadrotor Unmanned Aerial Vehicle: Autopilot Designs and Real-Time Flight Tests', IEEE Transactions on Systems Man and Cybernetics: Systems, http://dx.doi.org/10.1109/TSMC.2019.2906320

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA, 2019, 'Online identification of a rotary wing Unmanned Aerial Vehicle from data streams', Applied Soft Computing Journal, vol. 76, pp. 313 - 325, http://dx.doi.org/10.1016/j.asoc.2018.12.013

Biswas S; Anavatti SG; Garratt MA, 2019, 'Multiobjective Mission Route Planning Problem: A Neural Network-Based Forecasting Model for Mission Planning', IEEE Transactions on Intelligent Transportation Systems, http://dx.doi.org/10.1109/TITS.2019.2960057

Biswas S; Anavatti SG; Garratt MA, 2019, 'A time-efficient co-operative path planning model combined with task assignment for multi-agent systems', Robotics, vol. 8, http://dx.doi.org/10.3390/ROBOTICS8020035

Debie E; Fernandez Rojas R; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2019, 'Multi-Modal Fusion for Objective Assessment of Cognitive Workload: A Review', IEEE Transactions on Cybernetics

Al-Mahasneh AJ; Anavatti SG; Garratt MA; Pratama M, 2019, 'Stable Adaptive Controller Based on Generalized Regression Neural Networks and Sliding Mode Control for a Class of Nonlinear Time-Varying Systems', IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1 - 11, http://dx.doi.org/10.1109/tsmc.2019.2915950

Wang C; Savkin AV; Garratt M, 2018, 'A strategy for safe 3D navigation of non-holonomic robots among moving obstacles', Robotica, vol. 36, pp. 275 - 297, http://dx.doi.org/10.1017/S026357471700039X

Francis SLX; Anavatti SG; Garratt M, 2018, 'Real-time path planning module for autonomous vehicles in cluttered environment using a 3D camera', International Journal of Vehicle Autonomous Systems, vol. 14, pp. 40 - 61, http://dx.doi.org/10.1504/IJVAS.2018.093106

Nguyen AH; Guillemette T; Lambert AJ; Pickering MR; Garratt MA, 2017, 'Increasing feasibility of the field-programmable gate array implementation of an iterative image registration using a kernel-warping algorithm', Journal of Electronic Imaging, vol. 26, http://dx.doi.org/10.1117/1.JEI.26.5.053010

Li P; Garratt M; Lambert A; Lin S, 2017, 'Inertial-Aided Metric States and Surface Normal Estimation using a Monocular Camera', Journal of Intelligent and Robotic Systems: Theory and Applications, vol. 87, pp. 439 - 454, http://dx.doi.org/10.1007/s10846-017-0506-9

Lin S; Garratt MA; Lambert AJ, 2017, 'Monocular vision-based real-time target recognition and tracking for autonomously landing an UAV in a cluttered shipboard environment', Autonomous Robots, vol. 41, pp. 881 - 901, http://dx.doi.org/10.1007/s10514-016-9564-2

Santoso F; Anavatti SG; Garratt MA, 2017, 'State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles', IEEE Transactions on Automation Science and Engineering, vol. 15, pp. 613 - 627, http://dx.doi.org/10.1109/TASE.2017.2651109

Wang J; Garratt MA; Anavatti SG, 2017, 'Real-time path planning algorithm for autonomous vehicles in unknown environments', International Journal of Mechatronics and Automation, vol. 6, pp. 1 - 9, http://dx.doi.org/10.1504/IJMA.2017.093238

Smith B; Boyce R; Brown L; Garratt M, 2017, 'Investigation into the practicability of differential lift-based spacecraft rendezvous', Journal of Guidance, Control, and Dynamics, vol. 40, pp. 2680 - 2687, http://dx.doi.org/10.2514/1.G002537

Santoso F; Garratt MA; Anavatti SG, 2017, 'Visual-inertial navigation systems for aerial robotics: Sensor fusion and technology', IEEE Transactions on Automation Science and Engineering, vol. 14, pp. 260 - 275, http://dx.doi.org/10.1109/TASE.2016.2582752

Tehrani MH; Garratt MA; Anavatti SG, 2016, 'Low-altitude horizon-based aircraft attitude estimation using UV-filtered panoramic images and optic flow', IEEE Transactions on Aerospace and Electronic Systems, vol. 52, pp. 2362 - 2375, http://dx.doi.org/10.1109/TAES.2016.14-0534

Khyam MO; Alam MJ; Lambert AJ; Garratt MA; Pickering MR, 2016, 'High-Precision OFDM-Based Multiple Ultrasonic Transducer Positioning Using a Robust Optimization Approach', IEEE Sensors Journal, vol. 16, pp. 5325 - 5336, http://dx.doi.org/10.1109/JSEN.2016.2557817

Santoso F; Garratt MA; Pickering MR; Asikuzzaman M, 2015, '3D-Mapping for Visualisation of Rigid Structures: A Review and Comparative Study', IEEE Sensors Journal, vol. 16, pp. 1484 - 1507, http://dx.doi.org/10.1109/JSEN.2015.2498940

Anavatti SG; Francis S; garratt M, 2015, 'A ToF-camera as a 3D Vision Sensor for Autonomous Mobile Robotics', International Journal of Advanced Robotic Systems, vol. 12, http://dx.doi.org/10.5772/61348

Li P; Garratt M; Lambert A; Lin S, 2015, 'Metric sensing and control of a quadrotor using a homography-based visual inertial fusion method', Robotics and Autonomous Systems, http://dx.doi.org/10.1016/j.robot.2015.11.011

Li P; Garratt M; Lambert A, 2015, 'Monocular Snapshot-based Sensing and Control of Hover, Takeoff, and Landing for a Low-cost Quadrotor', Journal of Field Robotics, vol. 32, pp. 984 - 1003, http://dx.doi.org/10.1002/rob.21574

Roy TK; Garratt MA; Pota HR; Teimoori H, 2012, 'Robust Backstepping Control for Longitudinal and Lateral Dynamics of Small Scale Helicopter', USTC Journal, vol. 42, pp. 546 - 555, http://dx.doi.org/10.3969/j.issn.0253-2778.2012.07.005

Samal MK; Sreenatha AG; Garratt MA, 2012, 'Neural Network based Model Predictive Controller for Simplified Heave Model of an Unmanned Helicopter', Lecture Notes in Computer Science, vol. 7677, pp. 356 - 363, http://dx.doi.org/10.1007/978-3-642-35380-2_42

Garratt MA; Lambert AJ; Teimoori H, 2012, 'Design of a 3D Snapshot based Visual Flight Control Systems using a Single Camera in Hover', Autonomous Robots, vol. 34, pp. 19 - 34, http://dx.doi.org/10.1007/s10514-012-9310-3

Yang X; Garratt MA; Pota HR, 2012, 'Nonlinear Position Control for Hover and Automatic Landing of UAVs', IET Control Theory and Applications, vol. 6, pp. 911 - 920, http://dx.doi.org/10.1049/iet-cta.2011.0046

Garratt MA; Sreenatha AG, 2011, 'Non-linear Control of Heave for an Unmanned Helicopter Using A Neural Network', Journal of Intelligent and Robotic Systems, vol. 66, pp. 1 - 10, http://dx.doi.org/10.1007/s10846-011-9634-9

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