By Professor Matt Garratt

Journal articles

Ghanem R; Ali IM; Abpeikar S; Kasmarik K; Garratt M, 2025, 'Optimizing and predicting swarming collective motion performance for coverage problems solving: A simulation-optimization approach', Engineering Applications of Artificial Intelligence, 139, http://dx.doi.org/10.1016/j.engappai.2024.109522

Liu J; Anavatti S; Garratt M; Abbass HA, 2024, 'A hierarchical mission planning system for multi-uncrewed ground vehicles using fast cost evaluation and ant colony optimisation', Information Sciences, 679, http://dx.doi.org/10.1016/j.ins.2024.121029

Tran VP; Garratt MA; Anavatti SG; Ravi S, 2024, 'Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments', Swarm and Evolutionary Computation, 89, http://dx.doi.org/10.1016/j.swevo.2024.101615

Desai R; Garratt MA; Srinivasan MV; Ravi S, 2024, 'Honey bee foraging behaviour can be influenced by preferencesfor oscillating flowers', Animal Behaviour, 214, pp. 147 - 156, http://dx.doi.org/10.1016/j.anbehav.2024.06.005

Muthusamy PK; Suthar B; Muthusamy R; Garratt M; Pota H; Seneviratne L; Zweiri Y, 2024, 'Self-Organizing BFBEL Control System for a UAV Under Wind Disturbance', IEEE Transactions on Industrial Electronics, 71, pp. 5021 - 5033, http://dx.doi.org/10.1109/TIE.2023.3285922

Singh S; Garratt M; Srinivasan M; Ravi S, 2024, 'Analysis of collision avoidance in honeybee flight', Journal of the Royal Society Interface, 21, http://dx.doi.org/10.1098/rsif.2023.0601

Pham HQ; Singh S; Garratt M; Ravi S, 2024, 'Controlling a bio-inspired miniature blimp using a depth sensing neural-network camera', Bioinspiration and Biomimetics, 19, http://dx.doi.org/10.1088/1748-3190/ad1ef1

Debie E; Kasmarik K; Garratt M, 2024, 'Swarm Robotics: A Survey from a Multi-Tasking Perspective', ACM Computing Surveys, 56, pp. 1 - 38, http://dx.doi.org/10.1145/3611652

Tran VP; Perera AG; Garratt MA; Kasmarik K; Anavatti SG, 2024, 'Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings With Fixed One-Way Switching', Journal of Field Robotics, http://dx.doi.org/10.1002/rob.22441

Muthusamy PK; Tran VP; Garratt M; Annavati S; Pota H; Kok JM, 2024, 'Resilient Flight Control for a 32g Nano Helicopter', IEEE Transactions on Industrial Electronics, http://dx.doi.org/10.1109/TIE.2024.3387096

Bhat SS; Anavatti SG; Garratt M; Ravi S, 2024, 'Review of autonomous outdoor blimps and their applications', Drone Systems and Applications, 12, pp. 1 - 21, http://dx.doi.org/10.1139/dsa-2023-0052

Tran VP; Mabrok MA; Anavatti SG; Garratt MA; Petersen IR, 2024, 'Robust Adaptive Fuzzy Control for Second-Order Euler-Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory', IEEE Transactions on Cybernetics, 54, pp. 5102 - 5114, http://dx.doi.org/10.1109/TCYB.2024.3365554

Mahima KTY; Perera AG; Anavatti S; Garratt M, 2024, 'Toward Robust 3D Perception for Autonomous Vehicles: A Review of Adversarial Attacks and Countermeasures', IEEE Transactions on Intelligent Transportation Systems, http://dx.doi.org/10.1109/TITS.2024.3456293

Mahima KTY; Perera A; Anavatti S; Garratt M, 2023, 'Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving', Sensors, 23, http://dx.doi.org/10.3390/s23239579

Tran VP; Perera A; Garratt MA; Kasmarik K; Anavatti SG, 2023, 'Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 12506 - 12522, http://dx.doi.org/10.1109/TITS.2023.3285624

Tran VP; Mabrok MA; Anavatti SG; Garratt MA; Petersen IR, 2023, 'Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems', IEEE Transactions on Cybernetics, 53, pp. 5108 - 5120, http://dx.doi.org/10.1109/TCYB.2022.3175366

Nguyen H; Hussein A; Garratt MA; Abbass HA, 2023, 'Swarm Metaverse for Multi-Level Autonomy Using Digital Twins', Sensors, 23, http://dx.doi.org/10.3390/s23104892

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2023, 'A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties', Robotics, 12, http://dx.doi.org/10.3390/robotics12020040

Tran VP; Garratt MA; Kasmarik K; Anavatti SG, 2023, 'Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments', IEEE/CAA Journal of Automatica Sinica, 10, pp. 646 - 661, http://dx.doi.org/10.1109/JAS.2023.123087

Tran VP; Garratt MA; Kasmarik K; Anavatti SG; Leong AS; Zamani M, 2023, 'Multi-gas source localization and mapping by flocking robots', Information Fusion, 91, pp. 665 - 680, http://dx.doi.org/10.1016/j.inffus.2022.11.001

Francis S; Anavatti S; Garratt M; Hassan O; Ali S, 2023, 'Dense Scene Flow Estimation with the GVF Snake Model for Obstacle Detection Using a 3D Sensor in the Path-Planning Module', International Journal on Smart Sensing and Intelligent Systems, 16, http://dx.doi.org/10.2478/ijssis-2023-0015

Abpeikar S; Kasmarik K; Garratt M, 2023, 'Iterative transfer learning for automatic collective motion tuning on multiple robot platforms', Frontiers in Neurorobotics, 17, pp. 1113991, http://dx.doi.org/10.3389/fnbot.2023.1113991

Dong X; Garratt MA; Anavatti SG; Abbass HA, 2022, 'MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 20134 - 20147, http://dx.doi.org/10.1109/TITS.2022.3179365

Long NK; Sgarioto D; Garratt M; Sammut K, 2022, 'Response component analysis for sea state estimation using artificial neural networks and vessel response spectral data', Applied Ocean Research, 127, http://dx.doi.org/10.1016/j.apor.2022.103320

Dong X; Garratt MA; Anavatti SG; Abbass HA, 2022, 'Towards Real-Time Monocular Depth Estimation for Robotics: A Survey', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 16940 - 16961, http://dx.doi.org/10.1109/TITS.2022.3160741

Liu J; Anavatti S; Garratt M; Abbass HA, 2022, 'Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning', Expert Systems with Applications, 196, http://dx.doi.org/10.1016/j.eswa.2022.116605

Liu J; Anavatti S; Garratt M; Tan KC; Abbass HA, 2022, 'A survey, taxonomy and progress evaluation of three decades of swarm optimisation', Artificial Intelligence Review, 55, pp. 3607 - 3725, http://dx.doi.org/10.1007/s10462-021-10095-z

Rajamohan D; Kim J; Garratt M; Pickering M, 2022, 'Image based Localization under large perspective difference between Sfm and SLAM using split sim(3) optimization', Autonomous Robots, 46, pp. 437 - 449, http://dx.doi.org/10.1007/s10514-021-10031-8

Liu J; Anavatti S; Garratt M; Abbass HA, 2022, 'Multi-operator continuous ant colony optimisation for real world problems', Swarm and Evolutionary Computation, 69, http://dx.doi.org/10.1016/j.swevo.2021.100984

Muthusamy PK; Garratt M; Pota H; Muthusamy R, 2022, 'Real-Time Adaptive Intelligent Control System for Quadcopter Unmanned Aerial Vehicles With Payload Uncertainties', IEEE Transactions on Industrial Electronics, 69, pp. 1641 - 1653, http://dx.doi.org/10.1109/TIE.2021.3055170

Al-Mahasneh AJ; Anavatti SG; Garratt MA, 2022, 'Online Model-Free Reinforcement Learning for Output Feedback Tracking Control of a Class of Discrete-Time Systems with Input Saturation', IEEE Access, 10, pp. 104966 - 104979, http://dx.doi.org/10.1109/ACCESS.2022.3210136

Abpeikar S; Kasmarik K; Garratt M; Hunjet R; Khan M; Qiu H, 2022, 'Automatic Collective Motion Tuning using Actor-Critic Deep Reinforcement Learning', Swarm and Evolutionary Computation, 72, pp. 101085, http://dx.doi.org/10.1016/j.swevo.2022.101085

Tran P; Abpeikar S; Kasmarik K; Garratt M; Anavatti S, 2022, 'Frontier Led Swarming: Robust Multi-robot coverage of Unknown Environments', Swarm and Evolutionary Computation, 75, pp. 101171, http://dx.doi.org/10.1016/j.swevo.2022.101171

Tran VP; Santoso F; Garratt MA; Petersen IR, 2021, 'Distributed Formation Control Using Fuzzy Self-Tuning of Strictly Negative Imaginary Consensus Controllers in Aerial Robotics', IEEE/ASME Transactions on Mechatronics, 26, pp. 2306 - 2315, http://dx.doi.org/10.1109/TMECH.2020.3036829

Tran VP; Santoso F; Garratt MA, 2021, 'Adaptive Trajectory Tracking for Quadrotor Systems in Unknown Wind Environments Using Particle Swarm Optimization-Based Strictly Negative Imaginary Controllers', IEEE Transactions on Aerospace and Electronic Systems, 57, pp. 1742 - 1752, http://dx.doi.org/10.1109/TAES.2020.3048778

Tran VP; Mabrok MA; Garratt MA; Petersen IR, 2021, 'Hybrid adaptive negative imaginary- neural-fuzzy control with model identification for a quadrotor', IFAC Journal of Systems and Control, 16, http://dx.doi.org/10.1016/j.ifacsc.2021.100156

Al-Mahasneh AJ; Anavatti SG; Garratt MA; Pratama M; Al-Mahasneh AJ, 2021, '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, 51, pp. 2525 - 2535, http://dx.doi.org/10.1109/TSMC.2019.2915950

Tran VP; Garratt MA; Petersen IR, 2021, 'Multi-vehicle formation control and obstacle avoidance using negative-imaginary systems theory', IFAC Journal of Systems and Control, 15, pp. 100117, http://dx.doi.org/10.1016/j.ifacsc.2020.100117

Biswas S; Anavatti SG; Garratt MA, 2021, 'Multiobjective Mission Route Planning Problem: A Neural Network-Based Forecasting Model for Mission Planning', IEEE Transactions on Intelligent Transportation Systems, 22, pp. 430 - 442, http://dx.doi.org/10.1109/TITS.2019.2960057

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2021, 'Self-Learning in Aerial Robotics Using Type-2 Fuzzy Systems: Case Study in Hovering Quadrotor Flight Control', IEEE Access, 9, pp. 119520 - 119532, http://dx.doi.org/10.1109/ACCESS.2021.3107906

Debie E; El-Fiqi H; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Autonomous recommender system for reconnaissance tasks using a swarm of UAVs and asynchronous shepherding', Human-Intelligent Systems Integration, 3, pp. 175 - 186, http://dx.doi.org/10.1007/s42454-020-00024-w

Tran VP; Garratt MA; Petersen IR, 2020, 'Switching formation strategy with the directed dynamic topology for collision avoidance of a multi-robot system in uncertain environments', IET Control Theory and Applications, 14, pp. 2948 - 2959, http://dx.doi.org/10.1049/iet-cta.2020.0502

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, 16, pp. 6518 - 6529, http://dx.doi.org/10.1109/TII.2019.2958381

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, 4, pp. 523 - 537, http://dx.doi.org/10.1109/TETCI.2020.2992778

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, 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, 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, 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, 14, http://dx.doi.org/10.3389/fnins.2020.00040

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, 512, pp. 481 - 505, http://dx.doi.org/10.1016/j.ins.2019.10.001

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, 95, pp. 104245, http://dx.doi.org/10.1016/j.conengprac.2019.104245

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