By Professor Matt Garratt

Journal articles

Anavatti SG; Garratt MA; Wang J, 2017, 'Real-time path planning algorithm for autonomous vehicles in unknown environments', International Journal of Mechatronics and Automation, 6, pp. 1 - 1, http://dx.doi.org/10.1504/ijma.2017.10014343

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, 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, 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, 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, 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, pp. 984 - 1003, http://dx.doi.org/10.1002/rob.21574

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, 34, pp. 19 - 34, http://dx.doi.org/10.1007/s10514-012-9310-3

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, 7677, pp. 356 - 363, http://dx.doi.org/10.1007/978-3-642-35380-2_42

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

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

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, 29, pp. 1 - 14, http://dx.doi.org/10.1017/S0263574711000816

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

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, 61, pp. 267 - 285, http://dx.doi.org/10.1007/s10846-010-9474-z

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

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, 8, pp. 727 - 734, http://www.springerlink.com/content/t4v7193l46333851/fulltext.pdf

Ahmed B; Pota HR; Garratt MA, 2009, 'Flight control of a rotary wing UAV using backstepping', International Journal of Robust and Nonlinear Control, 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, 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, 37, pp. 963 - 970

Samal MK; Anavatti S; Garratt M, 2008, 'Neural Network Based System Identification for Autonomous Flight of an Eagle Helicopter', IFAC Proceedings Volumes, 41, pp. 7421 - 7426, http://dx.doi.org/10.3182/20080706-5-kr-1001.01254

Yang X; Pota H; Garratt M; Ugrinovskii V, 2008, 'Ship Motion Prediction for Maritime Flight Operations', IFAC Proceedings Volumes, 41, pp. 12407 - 12412, http://dx.doi.org/10.3182/20080706-5-kr-1001.02100

Garratt MA; Chahl JS, 2008, 'Vision-Based Terrain Following for an Unmanned Rotorcraft', Journal of Field Robotics, 25, pp. 284 - 301

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, 22, pp. 536 - 544

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, 218, pp. 375 - 388, http://dx.doi.org/10.1243/0954410042794966

Conference Papers

Ghanem R; Ali I; Kasmarik K; Garratt M, 2025, 'Impact of Environmental Changes on Optimized Robotics Collective Motion for Multi-Objective Coverage Tasks', Canberra, Australia, presented at The International Conference on Evolutionary Multi-Criterion Optimization, Canberra, Australia, 04 March 2025 - 07 March 2025, http://dx.doi.org/10.1007/978-981-96-3506-1_21

Ghanem R; Ali I; Kasmarik K; Garratt M, 2024, 'Comparative Analysis of Simulation Models for Evolving Robot Collective Motion in Industrial Coverage and Inspection Tasks', Computers and Industrial Engineering, Sydney, Australia, pp. 2190 - 2199, presented at The 51st International Conference on Computers and Industrial Engineering (CIE51), Sydney, Australia, 09 December 2024 - 11 December 2024, https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003228818&partnerID=40&md5=92cb714dbdb32bbccfa34a836b8948e3%7D

Mahima KTY; Perera AG; Anavatti S; Garratt M, 2024, '3DR-DIFF: Blind Diffusion Inpainting for 3D Point Cloud Reconstruction and Segmentation', in IEEE International Conference on Intelligent Robots and Systems, pp. 7414 - 7421, http://dx.doi.org/10.1109/IROS58592.2024.10802338

Meselhi M; Garratt M; Anavatti S; Kasmarik K; Tran P; Islam R, 2024, 'A Swarm Optimization Method for Gas Plume Boundary Detection and Monitoring', in 2024 4th International Conference on Robotics Automation and Artificial Intelligence Raai 2024, pp. 85 - 90, http://dx.doi.org/10.1109/RAAI64504.2024.10949544

Nguyen TXB; Ravi S; Srinivasan MV; Garratt MA, 2024, 'An Active, Bio-Inspired Sensing Technique for In-Flight Monitoring and Control of Altitude', in IEEE International Conference on Robotics and Biomimetics Robio, pp. 522 - 527, http://dx.doi.org/10.1109/ROBIO64047.2024.10907673

Farlow H; Ceruti C; Garratt M; Mount G; Lynar T, 2024, 'Beyond Words: Memetic Theory as a Lens to Expose Ideological Bias in Language Models', in Proceedings of the International Conference on Soft Computing and Machine Intelligence Iscmi, pp. 227 - 233, http://dx.doi.org/10.1109/ISCMI63661.2024.10851522

Santoso F; Garratt MA; Anavatti SG; Wang J; Tran PV; Ferdaus MM, 2024, 'Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties', in 2024 European Control Conference Ecc 2024, pp. 3777 - 3782, http://dx.doi.org/10.23919/ECC64448.2024.10591274

Abpeikar S; Garratt M; Kasmarik K; Anavatti S; Islam R, 2024, 'Integrating Large Language Models for Task Planning in Robots-A case Study with NAO', in 2024 6th International Conference on Control and Robotics Iccr 2024, pp. 217 - 225, http://dx.doi.org/10.1109/ICCR64365.2024.10927585

Farlow H; Ceruti C; Garratt M; Mount G; Lynar T, 2024, 'Memes in the Machine: Ideological Propagation in Large Language Models', in 2024 IEEE 15th International Conference on Cognitive Infocommunications Coginfocom 2024, pp. 17 - 24, http://dx.doi.org/10.1109/CogInfoCom63007.2024.10894714

Islam R; Anavatti S; Kasmarik K; Garratt M, 2024, 'Robust and Scalable Swarming of Quadruped Robots for Chemical, Biological, Radiological, and Nuclear Source Localisation', in 2024 10th International Conference on Mechatronics and Robotics Engineering Icmre 2024, pp. 56 - 62, http://dx.doi.org/10.1109/ICMRE60776.2024.10532170

Abpeikar S; Kasmarik K; Garratt M, 2023, 'A Mechanism for Transferring Evolved Collective Motion Behaviour Libraries onto Real Collective Robots', in Australasian Conference on Robotics and Automation Acra, Sydney, Australia, presented at Australasian Conference on Robotics and Automation, Sydney, Australia, 04 December 2023, https://ssl.linklings.net/conferences/acra/acra2023_proceedings/views/at_a_glance.html

Perera A; Kasmarik K; Anavatti S; Tran P; Garratt M, 2023, 'Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles', in Australasian Conference on Robotics and Automation Acra, Sydney Australia, presented at Australasian Conference on Robotics and Automation, Sydney Australia, 04 December 2023, https://ssl.linklings.net/conferences/acra/acra2023_proceedings/views/includes/files/pap143s2.pdf

Abpeikar S; Kasmarik K; Garratt M, 2023, 'Automatic Multi-Class Collective Motion Recognition Using a Decision Forest Extracted from Neural Networks', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, Institute of Electrical and Electronics Engineers (IEEE), Canberra, pp. 1 - 6, presented at IEEE TenSymp, Canberra, 05 September 2023 - 08 September 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223653

Khattab N; Kasmarik K; Abpeikar S; Garratt M, 2023, 'Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video Using a Deep Neural Network', in 2023 International Joint Conference on Neural Networks (IJCNN), IEEE, Brisbane, Australia, presented at International Joint Conference on Neural Networks, Brisbane, Australia, 18 June 2023 - 23 June 2023, http://dx.doi.org/10.1109/IJCNN54540.2023.10191933

Rossouw M; Ravi S; Garratt M, 2023, 'Bio-Inspired blimps and multiple-agent source localisation', in 2023 IEEE International Conference on Robotics and Biomimetics Robio 2023, http://dx.doi.org/10.1109/ROBIO58561.2023.10354821

Rossouw MI; Ravi S; Garratt MAB, 2023, 'Correction to: An Open-Source Autopilot and Source Localisation for Bio-Inspired Miniature Blimps (AIAA SciTech Forum and Exposition, 2023)', in AIAA Scitech Forum and Exposition 2023, http://dx.doi.org/10.2514/6.2023-1731.c1

Farlow H; Garratt M; Mount G; Lynar T, 2023, 'The Race to Robustness: Exploiting Fragile Models for Urban Camouflage and the Imperative for Machine Learning Security', in 2023 IEEE Region 10 Symposium Tensymp 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223620

Kasmarik K; Debie E; Abpeikar S; Garratt M; Qiu H; Barlow M; Khan M, 2023, 'Generating Collective Motion Behaviour Libraries using Developmental Evolution', in Liu T; Yue L; Webb G; Wang D (eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, Springer, Brisbane, pp. 441 - 452, presented at Australasian Joint Conference on Artificial Intelligence, Brisbane, - 01 December 2023, http://dx.doi.org/10.1007/978-981-99-8391-9_35

Dong X; Garratt MA; Anavatti SG; Abbass HA; Dong J, 2022, 'Lightweight Monocular Depth Estimation with an Edge Guided Network', in 2022 17th International Conference on Control Automation Robotics and Vision Icarcv 2022, pp. 204 - 210, http://dx.doi.org/10.1109/ICARCV57592.2022.10004313

Lin TX; Zhang F; Rossouw M; Garratt MAB; Ravi S; Schuler TK; Maxseiner AB; Sofge DA; Lofaro DM, 2022, 'Miniature Autonomous Blimps for Indoor Applications', in AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2022, American Institute of Aeronautics and Astronautics (AIAA), presented at AIAA SCITECH 2022 Forum, http://dx.doi.org/10.2514/6.2022-1834

Mabrok MA; Tran VP; Petersen IR; Garratt MA, 2022, 'Robust adaptive learning control for different classes of dissipative vehicle systems', in 2022 IEEE Vehicle Power and Propulsion Conference Vppc 2022 Proceedings, http://dx.doi.org/10.1109/VPPC55846.2022.10003416

Abpeikar S; Kasmarik K; Garratt M, 2022, 'Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals', in Aziz H; Correa D; French T (eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, Springer Nature, Perth, Australia, pp. 761 - 774, presented at Australasian Joint Conference on Artificial Intelligence, Perth, Australia, - 09 December 2022, http://dx.doi.org/10.1007/978-3-031-22695-3_53

Khan M; Kasmarik K; Garratt M, 2022, 'Decentralizing Self-organizing Maps', in Long G; Yu X; Wang S (eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, Springer Nature, Sydney, Australia, pp. 480 - 493, presented at AJCAI, Sydney, Australia, - 04 February 2022, http://dx.doi.org/10.1007/978-3-030-97546-3_39

Liu J; Hussein A; Anavatti S; Garratt M; Abbass HA, 2021, 'UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm', in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings, http://dx.doi.org/10.1109/SSCI50451.2021.9659847

Nguyen HT; Garratt M; Bui LT; Abbass H, 2020, 'Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise during Swarm Guidance', in 2020 IEEE Symposium Series on Computational Intelligence Ssci 2020, pp. 2257 - 2264, http://dx.doi.org/10.1109/SSCI47803.2020.9308448

Qiu H; Garratt M; Howard D; Anavatti S, 2020, 'Evolving Spiking Neurocontrollers for UAVs', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 1928 - 1935, http://dx.doi.org/10.1109/SSCI47803.2020.9308275

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