Associate Professor Matthew Garratt

Deputy Head of School (Research)
School of Engineering and Information Technology
+61 2 6268 8267
+61 2 6268 8581

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.

A/Prof Matt Garratt is the Deputy Head of School (Research) for the school of Engineering and IT and is based in the Canberra campus of UNSW Australia. His main research areas focus 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.

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 , 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, IES 2016, 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.), Studies in Computational Intelligence, Springer-Verlag, Berlin Heidelberg, pp. 81 - 90, http://dx.doi.org/10.1007/978-3-642-37387-9_6

Journal articles

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA; Lughofer E, 2019, 'PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles', Information Sciences, http://dx.doi.org/10.1016/j.ins.2019.10.001

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

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

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

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

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

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

Ferdaus MM; Pratama M; Anavatti S; Garratt MA; Pan Y, 2019, 'Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-inspired Unmanned Aerial Vehicles', IEEE Transactions on Fuzzy Systems, http://dx.doi.org/10.1109/TFUZZ.2019.2917808

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

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; 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

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

Ferdaus MM; Anavatti SG; Pratama M; Garratt MA, 2018, 'Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review', Artificial Intelligence Review, http://dx.doi.org/10.1007/s10462-018-9653-z

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

Santoso F; Garratt MA; Anavatti SG; Petersen I, 2018, 'Robust Hybrid Nonlinear Control Systems for the Dynamics of a Quadcopter Drone', IEEE Transactions on Systems, Man, and Cybernetics: Systems, http://dx.doi.org/10.1109/TSMC.2018.2836922

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

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

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

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

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

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

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

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

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

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

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

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 M; Pota HR; Teimoori H, 2012, 'Robust backstepping control for longitudinal and lateral dynamics of small scale helicopter', Journal of University of Science and Technology of China, 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

Hoy M; Matveev AS; Garratt MA; Savkin AV, 2011, 'Collision Free Navigation of an Autonomous Unmanned Helicopter in Unknown Urban Environments: Sliding Mode and MPC Approaches', Robotica, vol. 29, pp. 1 - 14, http://dx.doi.org/10.1017/S0263574711000816

Yang X; Garratt MA; Pota HR, 2011, 'Monotonous Trend Estimation of Deck Displacement for Automatic Landing of Rotorcraft UAVs', Journal of Intelligent and Robotic Systems, vol. 61, pp. 267 - 285, http://dx.doi.org/10.1007/s10846-010-9474-z

Yang X; Garratt MA; Pota HR, 2011, 'Flight validation of a feedforward gust-attenuation controller for an autonomous helicopter', Robotics and Autonomous Systems, vol. 59, pp. 1070 - 1079, http://dx.doi.org/10.1016/j.robot.2011.08.004

Samal MK; Sreenatha AG; Ray T; Garratt MA, 2010, 'A Computationally Efficient Approach for NN Based System Identification of a Rotary Wing UAV', International Journal of Control Automation and Systems, vol. 8, pp. 727 - 734, http://dx.doi.org/10.1007/s12555-010-0403-5

Ahmed B; Pota HR; Garratt MA, 2009, 'Flight control of a rotary wing UAV using backstepping', International Journal of Robust and Nonlinear Control, vol. 20, pp. 639 - 658, http://dx.doi.org/10.1002/rnc.1458

Garratt MA; Pota HR; Lambert AJ; Eckersley-Maslin SJ; Farabet C, 2009, 'Visual Tracking and LIDAR Relative Positioning for Automated Launch and Recovery of an Unmanned Rotocraft from Ships at Sea', Naval Engineers Journal, vol. 121, pp. 99 - 110, http://dx.doi.org/10.1111/j.1559-3584.2009.00194.x

Wang J; Garratt M; Lambert A; Wang JJ; han S; Sinclair D, 2008, 'INTEGRATION OF GPS/INS/VISION SENSORS TO NAVIGATE UNMANNED AERIAL VEHICLES', The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 37, pp. 963 - 970

Garratt MA; Chahl JS, 2008, 'Vision-Based Terrain Following for an Unmanned Rotorcraft', Journal of Field Robotics, vol. 25, pp. 284 - 301, http://dx.doi.org/10.1002/rob.20239

Pota HR; Garratt MA; Oh S; Pathak K; Agrawal SK, 2006, 'Approaches for a Tether Guided Landing of an Autonomous Helicopter', IEEE Transactions on Robotics, vol. 22, pp. 536 - 544, http://dx.doi.org/10.1109/TRO.2006.870657

Srinivasan MV; Zhang SW; Chahl JS; Stange G; Garratt M, 2004, 'An overview of insect-inspired guidance for application in ground and airborne platforms', Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, vol. 218, pp. 375 - 388, http://dx.doi.org/10.1243/0954410042794966

Conference Papers

Nguyen H; Nguyen T; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass H, 2019, 'A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms', Sydney, presented at International Conference on Neural Information Processing, Sydney

Crockett K; Goltz S; Garratt M; Latham A, 2019, 'Trust in Computational Intelligence Systems: A Case Study in Public Perceptions', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 3227 - 3234, http://dx.doi.org/10.1109/CEC.2019.8790147