Matthew Garratt

60 papers A 2B 5Misc 2Journal 30Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	From Single-Task Swarming to Multi-task Heterogeneous Swarming for Solving Non-uniform Area Coverage Problems. ICSI (2) Sara Mohamed, Kathryn Kasmarik, Essam Soliman Debie, Matthew Garratt
2025	—	`conf`	Frontier Guided Area Coverage for Unmanned Aerial Vehicles with Deep Reinforcement Learning. ROBIO Muhammad Talha, Cat Macdermott, Matthew Garratt, Vu Phi Tran, Darcy Byrne, Jo Plested
2025	—	`conf`	Impact of Environmental Changes on Optimized Robotics Collective Motion for Multi-objective Coverage Tasks. EMO (1) Reda Ghanem, Ismail M. Ali, Kathryn Kasmarik, Matthew Garratt
2025	J	`jnl`	Optimizing and predicting swarming collective motion performance for coverage problems solving: A simulation-optimization approach. Eng. Appl. Artif. Intell. Reda Ghanem, Ismail M. Ali, Shadi Abpeikar, Kathryn Kasmarik, Matthew Garratt
2025	J	`jnl`	Simulation-based multi-objective optimization for mission specific tuning of swarming robots. Swarm Evol. Comput. Reda Ghanem, Ismail M. Ali, Kathryn Kasmarik, Matthew Garratt
2025	J	`jnl`	Task-focused robotic swarming: Maximising effectiveness via specialised roles. Robotics Auton. Syst. Essam Soliman Debie, Kathryn Kasmarik, Matthew Garratt
2025	J	`jnl`	Understanding visual attention beehind bee-inspired UAV navigation. CoRR Pranav Rajbhandari, Abhi Veda, Matthew Garratt, Mandayam Srinivasan, Sridhar Ravi
2025	J	`jnl`	YOLO11-4K: An Efficient Architecture for Real-Time Small Object Detection in 4K Panoramic Images. CoRR Huma Hafeez, Matthew Garratt, Jo Plested, Sankaran Iyer, Arcot Sowmya
2024	J	`jnl`	A hierarchical mission planning system for multi-uncrewed ground vehicles using fast cost evaluation and ant colony optimisation. Inf. Sci. Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
2024	—	`conf`	Beyond Words: Memetic Theory as a Lens to Expose Ideological Bias in Language Models. ISCMI Harriet Farlow, Claudio Ceruti, Matthew Garratt, Gavin Mount, Timothy Lynar
2024	—	`conf`	Memes in the Machine: Ideological Propagation in Large Language Models. CogInfoCom Harriet Farlow, Claudio Ceruti, Matthew Garratt, Gavin Mount, Timothy Lynar
2024	J	`jnl`	Resilient Flight Control for a 32g Nano Helicopter. IEEE Trans. Ind. Electron. Praveen Kumar Muthusamy, Vu Phi Tran, Matthew Garratt, Sreenatha G. Anavatti, Hemanshu R. Pota, Jia Ming Kok
2024	J	`jnl`	Self-Organizing BFBEL Control System for a UAV Under Wind Disturbance. IEEE Trans. Ind. Electron. Praveen Kumar Muthusamy, Bhivraj Suthar, Rajkumar Muthusamy, Matthew Garratt, Hemanshu Roy Pota, Lakmal D. Seneviratne, Yahya H. Zweiri
2023	B	`conf`	Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network. IJCNN Noha Khattab, Shadi Abpeikar, Kathryn Kasmarik, Matthew Garratt
2023	J	`jnl`	Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles. CoRR Asanka G. Perera, Vu Phi Tran, Sreenatha G. Anavatti, Kathryn Kasmarik, Matthew Garratt
2023	J	`jnl`	The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security. CoRR Harriet Farlow, Matthew Garratt, Gavin Mount, Timothy Lynar
2022	J	`jnl`	A survey, taxonomy and progress evaluation of three decades of swarm optimisation. Artif. Intell. Rev. Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Kay Chen Tan, Hussein A. Abbass
2022	J	`jnl`	Automatic collective motion tuning using actor-critic deep reinforcement learning. Swarm Evol. Comput. Shadi Abpeikar, Kathryn Kasmarik, Matthew Garratt, Robert A. Hunjet, Md Mohiuddin Khan, Huanneng Qiu
2022	J	`jnl`	Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning. Expert Syst. Appl. Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
2022	J	`jnl`	Multi-operator continuous ant colony optimisation for real world problems. Swarm Evol. Comput. Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
2022	J	`jnl`	Real-Time Adaptive Intelligent Control System for Quadcopter Unmanned Aerial Vehicles With Payload Uncertainties. IEEE Trans. Ind. Electron. Praveen Kumar Muthusamy, Matthew Garratt, Hemanshu Roy Pota, Rajkumar Muthusamy
2022	J	`jnl`	Response Component Analysis for Sea State Estimation Using Artificial Neural Networks and Vessel Response Spectral Data. CoRR Nathan K. Long, Daniel Sgarioto, Matthew Garratt, Karl Sammut
2021	—	`conf`	UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm. SSCI Jing Liu, Aya Hussein, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
2020	Misc	`conf`	A 3D-2D Registration Method for Stereo Scan Overlay on Structure from Motion Model. DICTA Deepak Rajamohan, Matthew Garratt, Mark Pickering
2020	J	`jnl`	A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach. IEEE Trans. Emerg. Top. Comput. Intell. Nathan K. Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein A. Abbass
2020	J	`jnl`	Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding. CoRR Hung The Nguyen, Tung Nguyen, Vu Phi Tran, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass
2020	J	`jnl`	Crossing the Reality Gap with Evolved Plastic Neurocontrollers. CoRR Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
2020	—	`conf`	Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance. SSCI Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass
2020	J	`jnl`	Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance. CoRR Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass
2020	—	`conf`	Evolving Spiking Neurocontrollers for UAVs. SSCI Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
2020	B	`conf`	Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. IJCNN Tung Nguyen, Jing Liu, Hung The Nguyen, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
2020	A	`conf`	Towards crossing the reality gap with evolved plastic neurocontrollers. GECCO Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
2019	J	`jnl`	A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach. CoRR Nathan K. Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein A. Abbass
2019	—	`conf`	A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. ICONIP (1) Hung The Nguyen, Tung D. Nguyen, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass
2019	—	`conf`	Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task. SSCI Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass
2019	—	`conf`	Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning. SSCI Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
2019	—	`conf`	Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming. ICONIP (4) Raul Fernandez Rojas, Essam Soliman Debie, Justin Fidock, Michael Barlow, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
2019	J	`jnl`	Evolving Spiking Neural Networks for Nonlinear Control Problems. CoRR Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
2019	J	`jnl`	Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi-Sugeno-Kang fuzzy logic autopilots. Appl. Soft Comput. Edwar Yazid, Matthew Garratt, Fendy Santoso
2018	B	`conf`	A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System. SMC Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew Garratt
2018	J	`jnl`	A strategy for safe 3D navigation of non-holonomic robots among moving obstacles. Robotica Chao Wang, Andrey V. Savkin, Matthew Garratt
2018	J	`jnl`	Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction. CoRR Hung The Nguyen, Vu Phi Tran, Tung Nguyen, Matthew Garratt, Kathryn Kasmarik, Michael Barlow, Sreenatha G. Anavatti, Hussein A. Abbass
2018	B	`conf`	Apprenticeship Bootstrapping. IJCNN Hung The Nguyen, Matthew Garratt, Hussein A. Abbass
2018	A	`conf`	Apprenticeship Bootstrapping: Inverse Reinforcement Learning in a Multi-Skill UAV-UGV Coordination Task. AAMAS Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass
2018	—	`conf`	Bidirectional Fuzzy Brain Emotional Learning Control for Aerial Robots. SSCI Praveen Kumar Muthusamy, Matthew Garratt, Hemanshu Roy Pota, Jiefei Wang, Jia Ming Kok
2018	J	`jnl`	Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments. CoRR Vu Phi Tran, Matthew Garratt, Ian R. Petersen
2018	—	`conf`	Evolving Spiking Neural Networks for Nonlinear Control Problems. SSCI Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
2018	B	`conf`	Swarm Q-Leaming With Knowledge Sharing Within Environments for Formation Control. IJCNN Tung Nguyen, Hung The Nguyen, Essam Soliman Debie, Kathryn Kasmarik, Matthew Garratt, Hussein A. Abbass
2018	J	`jnl`	Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory. CoRR Vu Phi Tran, Matthew Garratt, Ian R. Petersen
2018	Misc	`conf`	Using Edge Position Difference and Pixel Correlation for Aligning Stereo-Camera Generated 3D Scans. DICTA Deepak Rajamohan, Mark Pickering, Matthew Garratt
2017	—	`conf`	Formation control of multi-UAVs using negative-imaginary systems theory. ASCC Vu Phi Tran, Matthew Garratt, Ian R. Petersen
2017	—	`conf`	Supervised deep actor network for imitation learning in a ground-air UAV-UGVs coordination task. SSCI Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass
2011	J	`jnl`	Flight validation of a feedforward gust-attenuation controller for an autonomous helicopter. Robotics Auton. Syst. Xilin Yang, Matthew Garratt, Hemanshu Roy Pota
2011	J	`jnl`	Monotonous Trend Estimation of Deck Displacement for Automatic Landing of Rotorcraft UAVs. J. Intell. Robotic Syst. Xilin Yang, Matthew Garratt, Hemanshu Roy Pota
2009	—	`conf`	Design of a gust-attenuation controller for landing operations of Unmanned Autonomous Helicopters. CCA/ISIC Xilin Yang, Hemanshu Roy Pota, Matthew Garratt
2008	—	`conf`	A UKF-NN Framework for System Identification of Small Unmanned Aerial Vehicles. ITSC Abhijit G. Kallapur, Mahendra Kumar Samal, Vishwas R. Puttige, Sreenatha G. Anavatti, Matthew Garratt
2008	—	`conf`	Flight control of a rotary wing UAV - a practical approach. CDC Bilal Ahmed, Hemanshu Roy Pota, Matthew Garratt
2008	—	`conf`	Prediction of vertical motions for landing operations of UAVs. CDC Xilin Yang, Hemanshu Roy Pota, Matthew Garratt, Valery A. Ugrinovskii
2007	—	`conf`	Rotary wing UAV position control using backstepping. CDC Bilal Ahmed, Hemanshu Roy Pota, Matthew Garratt
2006	J	`jnl`	Approaches for a tether-guided landing of an autonomous helicopter. IEEE Trans. Robotics So-Ryeok Oh, Kaustubh Pathak, Sunil Kumar Agrawal, Hemanshu Roy Pota, Matthew Garratt