Landing Strategies in Honeybees, and Applications to UAVs. - Mandyam V. Srinivasan; Shaowu Zhang 003; Javaan S. Chahl; Matthew A. Garratt (ISRR, 2001)

Autonomous Helicopter Landing on a Moving Platform Using a Tether. - So-Ryeok Oh; Kaustubh Pathak; Sunil Kumar Agrawal; Hemanshu Roy Pota; Matt Garratt (ICRA, 2005)

Velocity Control of a UAV using Backstepping Control. - Hemanshu Roy Pota; Bilal Ahmed; Matt Garratt (CDC, 2006)

Platform Enhancements and System Identification for Control of an Unmanned Helicopter. - Matt Garratt; Bilal Ahmed; Hemanshu Roy Pota (ICARCV, 2006)

Approaches for a tether-guided landing of an autonomous helicopter. - So-Ryeok Oh; Kaustubh Pathak; Sunil Kumar Agrawal; Hemanshu Roy Pota; Matthew Garratt (IEEE Trans. Robotics, 2006)

Rotary wing UAV position control using backstepping. - Bilal Ahmed; Hemanshu Roy Pota; Matthew Garratt (CDC, 2007)

Flight control of a rotary wing UAV - a practical approach. - Bilal Ahmed; Hemanshu Roy Pota; Matthew Garratt (CDC, 2008)

Prediction of vertical motions for landing operations of UAVs. - Xilin Yang; Hemanshu Roy Pota; Matthew Garratt; Valery A. Ugrinovskii (CDC, 2008)

A UKF-NN Framework for System Identification of Small Unmanned Aerial Vehicles. - Abhijit G. Kallapur; Mahendra Kumar Samal; Vishwas R. Puttige; Sreenatha G. Anavatti; Matthew Garratt (ITSC, 2008)

Vision-based terrain following for an unmanned rotorcraft. - Matthew A. Garratt; Javaan S. Chahl (J. Field Robotics, 2008)

Design of a gust-attenuation controller for landing operations of Unmanned Autonomous Helicopters. - Xilin Yang; Hemanshu Roy Pota; Matthew Garratt (CCA/ISIC, 2009)

Navigation of an unmanned helicopter in urban environments. - Michael Hoy; Andrey V. Savkin; Matt Garratt (ICARCV, 2010)

Monotonous trend estimation using recursive Prony Analysis. - Xilin Yang; Matt Garratt; Hemanshu Roy Pota (AuCC, 2011)

Reconstructing the geometry of an object using 3D TOF Camera. - Sobers L. X. Francis; Sreenatha G. Anavatti; Matthew A. Garratt (CompSens, 2011)

Dynamic model of autonomous ground vehicle for the path planning module. - Sobers L. X. Francis; Sreenatha G. Anavatti; Matthew A. Garratt (ICARA, 2011)

Model Based Path Planning Module. - Sobers L. X. Francis; Sreenatha G. Anavatti; Matthew A. Garratt (ICARA (selected extended papers), 2011)

Monotonous Trend Estimation of Deck Displacement for Automatic Landing of Rotorcraft UAVs. - Xilin Yang; Matthew Garratt; Hemanshu Roy Pota (J. Intell. Robotic Syst., 2011)

Flight validation of a feedforward gust-attenuation controller for an autonomous helicopter. - Xilin Yang; Matthew Garratt; Hemanshu Roy Pota (Robotics Auton. Syst., 2011)

Helicopter flight control using inverse optimal control and backstepping. - Hamid Teimoori; Hemanshu Roy Pota; Matthew A. Garratt; Mahendra Kumar Samal (ICARCV, 2012)

Motion Detection and Velocity Estimation for Obstacle Avoidance using 3D Point Clouds. - Sobers L. X. Francis; Sreenatha G. Anavatti; Matthew A. Garratt (ICINCO (2), 2012)

Neural Network Based Model Predictive Controller for Simplified Heave Model of an Unmanned Helicopter. - Mahendra Kumar Samal; Sreenatha G. Anavatti; Matthew A. Garratt (SEMCCO, 2012)

Non-linear Control of Heave for an Unmanned Helicopter Using a Neural Network. - Matthew A. Garratt; Sreenatha G. Anavatti (J. Intell. Robotic Syst., 2012)

Collision-free navigation of an autonomous unmanned helicopter in unknown urban environments: sliding mode and MPC approaches. - Michael Hoy; Alexey S. Matveev; Matt Garratt; Andrey V. Savkin (Robotica, 2012)

Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system. - Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt; Edwin Lughofer (EAIS, 2013)

Real time cooperative path planning for multi-autonomous vehicles. - Sobers L. X. Francis; Sreenatha G. Anavatti; Matthew A. Garratt (ICACCI, 2013)

Design of a 3D snapshot based visual flight control system using a single camera in hover. - Matthew A. Garratt; Andrew J. Lambert; Hamid Teimoori (Auton. Robots, 2013)

Motion recovery using the image interpolation algorithm and an RGB-D camera. - Jiefei Wang; Matthew A. Garratt; Ping Li 007; Sreenatha G. Anavatti (ROBIO, 2014)

Dominant plane detection using a RGB-D camera for autonomous navigation. - Jiefei Wang; Matthew A. Garratt; Sreenatha G. Anavatti (ICARA, 2015)

A monocular odometer for a quadrotor using a homography model and inertial cues. - Ping Li 007; Matthew A. Garratt; Andrew J. Lambert (ROBIO, 2015)

Inertial-aided state and slope estimation using a monocular camera. - Ping Li 007; Matthew A. Garratt; Andrew J. Lambert (ROBIO, 2015)

Real-time visual odometry for autonomous MAV navigation using RGB-D camera. - Jiefei Wang; Matthew A. Garratt; Sreenatha G. Anavatti; Shanggang Lin (ROBIO, 2015)

Monocular Snapshot-based Sensing and Control of Hover, Takeoff, and Landing for a Low-cost Quadrotor. - Ping Li 007; Matthew A. Garratt; Andrew J. Lambert (J. Field Robotics, 2015)

Simultaneous replanning with vectorized particle swarm optimization algorithm. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (ICARCV, 2016)

Proceedings in Adaptation, Learning and Optimization. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt (IES, 2016)

Metric sensing and control of a quadrotor using a homography-based visual inertial fusion method. - Ping Li 007; Matthew A. Garratt; Andrew J. Lambert; Shanggang Lin (Robotics Auton. Syst., 2016)

Low-altitude horizon-based aircraft attitude estimation using UV-filtered panoramic images and optic flow. - Mohsen H. Tehrani; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Aerosp. Electron. Syst., 2016)

Formation control of multi-UAVs using negative-imaginary systems theory. - Vu Phi Tran; Matthew Garratt; Ian R. Petersen (ASCC, 2017)

Nonlinear multi-input multi-output system identification using neuro-evolutionary methods for a quadcopter. - Ahmad Jobran Al-Mahasneh; S. G. Anavatu; Matthew A. Garratt (ICACI, 2017)

Fuzzy clustering based nonlinear system identification and controller development of Pixhawk based quadcopter. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (ICACI, 2017)

Altitude identification and intelligent control of a flapping wing micro aerial vehicle using modified generalized regression neural networks. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt (SSCI, 2017)

Particle swarm optimization based co-operative task assignment and path planning for multi-agent system. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt (SSCI, 2017)

Fuzzy clustering based modelling and adaptive controlling of a flapping wing micro air vehicle. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (SSCI, 2017)

Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt (SSCI, 2017)

Supervised deep actor network for imitation learning in a ground-air UAV-UGVs coordination task. - Hung The Nguyen 001; Matthew Garratt; Lam Thu Bui; Hussein A. Abbass (SSCI, 2017)

Monocular vision-based real-time target recognition and tracking for autonomously landing an UAV in a cluttered shipboard environment. - Shanggang Lin; Matthew A. Garratt; Andrew J. Lambert (Auton. Robots, 2017)

Real-time path planning algorithm for autonomous vehicles in unknown environments. - Jiefei Wang; Matthew A. Garratt; Sreenatha G. Anavatti (Int. J. Mechatronics Autom., 2017)

Increasing feasibility of the field-programmable gate array implementation of an iterative image registration using a kernel-warping algorithm. - An Hung Nguyen; Thomas Guillemette; Andrew J. Lambert; Mark Pickering; Matthew A. Garratt (J. Electronic Imaging, 2017)

Inertial-Aided Metric States and Surface Normal Estimation using a Monocular Camera. - Ping Li 007; Matthew A. Garratt; Andrew J. Lambert; Shanggang Lin (J. Intell. Robotic Syst., 2017)

Visual-Inertial Navigation Systems for Aerial Robotics: Sensor Fusion and Technology. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans Autom. Sci. Eng., 2017)

Apprenticeship Bootstrapping: Inverse Reinforcement Learning in a Multi-Skill UAV-UGV Coordination Task. - Hung The Nguyen 001; Matthew Garratt; Lam Thu Bui; Hussein A. Abbass (AAMAS, 2018)

Using Edge Position Difference and Pixel Correlation for Aligning Stereo-Camera Generated 3D Scans. - Deepak Rajamohan; Mark Pickering; Matthew Garratt (DICTA, 2018)

Entropy Fuzzy System Identification for the Dynamics of the Dragonfly-like Flapping Wing Aircraft. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Osama Hassanein (FUZZ-IEEE, 2018)

GDPR Impact on Computational Intelligence Research. - Keeley A. Crockett; Sean Goltz; Matt Garratt (IJCNN, 2018)

Apprenticeship Bootstrapping. - Hung The Nguyen 001; Matthew Garratt; Hussein A. Abbass (IJCNN, 2018)

Swarm Q-Leaming With Knowledge Sharing Within Environments for Formation Control. - Tung Nguyen 003; Hung The Nguyen 001; Essam Soliman Debie; Kathryn Kasmarik; Matthew Garratt; Hussein A. Abbass (IJCNN, 2018)

A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew Garratt (SMC, 2018)

Evolving General Regression Neural Networks using Limited Incremental Evolution for Data-Driven Modeling of Non-linear Dynamic Systems. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (SSCI, 2018)

Nonlinear Altitude Control of a Quadcopter Drone Using Interval Type-2 Fuzzy Logic. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (SSCI, 2018)

A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR.Drone Quadcopter. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Mahardhika Pratama; Matthew A. Garratt (SSCI, 2018)

Bidirectional Fuzzy Brain Emotional Learning Control for Aerial Robots. - Praveen Kumar Muthusamy; Matthew Garratt; Hemanshu Roy Pota; Jiefei Wang; Jia Ming Kok (SSCI, 2018)

Evolving Spiking Neural Networks for Nonlinear Control Problems. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (SSCI, 2018)

Review of Applications of Generalized Regression Neural Networks in Identification and Control of Dynamic Systems. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt (CoRR, 2018)

Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction. - Hung The Nguyen 001; Vu Phi Tran; Tung Nguyen 003; Matthew Garratt; Kathryn Kasmarik; Michael Barlow 001; Sreenatha G. Anavatti; Hussein A. Abbass (CoRR, 2018)

Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments. - Vu Phi Tran; Matthew Garratt; Ian R. Petersen (CoRR, 2018)

Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory. - Vu Phi Tran; Matthew Garratt; Ian R. Petersen (CoRR, 2018)

A strategy for safe 3D navigation of non-holonomic robots among moving obstacles. - Chao Wang 029; Andrey V. Savkin; Matthew Garratt (Robotica, 2018)

State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans Autom. Sci. Eng., 2018)

Trust in Computational Intelligence Systems: A Case Study in Public Perceptions. - Keeley A. Crockett; Sean Goltz; Matt Garratt; Annabel Latham (CEC, 2019)

An Intelligent Control of an Inverted Pendulum Based on an Adaptive Interval Type-2 Fuzzy Inference System. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (FUZZ-IEEE, 2019)

A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. - Hung The Nguyen 001; Tung D. Nguyen; Matthew Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Michael Barlow 001; Hussein A. Abbass (ICONIP (1), 2019)

Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming. - Raul Fernandez Rojas; Essam Soliman Debie; Justin Fidock; Michael Barlow 001; Kathryn Kasmarik; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (ICONIP (4), 2019)

Evolving General Regression Neural Networks for Learning from Noisy Datasets. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt (SSCI, 2019)

Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Md Meftahul Ferdaus (SSCI, 2019)

Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (SSCI, 2019)

Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (SSCI, 2019)

Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task. - Hung The Nguyen 001; Matthew Garratt; Lam Thu Bui; Hussein A. Abbass (SSCI, 2019)

Online identification of a rotary wing Unmanned Aerial Vehicle from data streams. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt (Appl. Soft Comput., 2019)

Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi-Sugeno-Kang fuzzy logic autopilots. - Edwar Yazid; Matthew Garratt; Fendy Santoso (Appl. Soft Comput., 2019)

Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (J. Artif. Intell. Soft Comput. Res., 2019)

A Time-Efficient Co-Operative Path Planning Model Combined with Task Assignment for Multi-Agent Systems. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt (Robotics, 2019)

PALM: An Incremental Construction of Hyperplanes for Data Stream Regression. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt (IEEE Trans. Fuzzy Syst., 2019)

Autonomous Recognition of Collective Behaviour in Robot Swarms. - Kathryn Kasmarik; Shadi Abpeikar; Md Mohiuddin Khan; Noha Khattab; Michael Barlow 001; Matt Garratt (Australasian Conference on Artificial Intelligence, 2020)

A 3D-2D Registration Method for Stereo Scan Overlay on Structure from Motion Model. - Deepak Rajamohan; Matthew Garratt; Mark Pickering (DICTA, 2020)

A Simplified Model-Free Self-Evolving TS Fuzzy Controller for Nonlinear Systems with Uncertainties. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (EAIS, 2020)

Towards crossing the reality gap with evolved plastic neurocontrollers. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (GECCO, 2020)

Risk and Trust Perceptions of the Public of Artifical Intelligence Applications. - Keeley A. Crockett; Matthew A. Garratt; Annabel Latham; Edwin Colyer; Sean Goltz (IJCNN, 2020)

Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. - Tung Nguyen 003; Jing Liu 029; Hung The Nguyen 001; Kathryn Kasmarik; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (IJCNN, 2020)

Online System Identification for Nonlinear Uncertain Dynamical Systems Using Recursive Interval Type-2 TS Fuzzy C-means Clustering. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (SSCI, 2020)

Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance. - Hung The Nguyen 001; Matthew Garratt; Lam Thu Bui; Hussein A. Abbass (SSCI, 2020)

Evolving Spiking Neurocontrollers for UAVs. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (SSCI, 2020)

Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Mahardhika Pratama; Matthew A. Garratt (Artif. Intell. Rev., 2020)

Crossing the Reality Gap with Evolved Plastic Neurocontrollers. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (CoRR, 2020)

Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding. - Hung The Nguyen 001; Tung Nguyen 003; Vu Phi Tran; Matthew Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Michael Barlow 001; Hussein A. Abbass (CoRR, 2020)

PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt; Edwin Lughofer (Inf. Sci., 2020)

A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach. - Nathan K. Long; Karl Sammut; Daniel Sgarioto; Matthew Garratt; Hussein A. Abbass (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt; Yongping Pan 001 (IEEE Trans. Fuzzy Syst., 2020)

T2-ETS-IE: A Type-2 Evolutionary Takagi-Sugeno Fuzzy Inference System With the Information Entropy-Based Pruning Technique. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Fuzzy Syst., 2020)

Self-Evolving Neural Control for a Class of Nonlinear Discrete-Time Dynamic Systems With Unknown Dynamics and Unknown Disturbances. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt (IEEE Trans. Ind. Informatics, 2020)

Robust Hybrid Nonlinear Control Systems for the Dynamics of a Quadcopter Drone. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Ian R. Petersen (IEEE Trans. Syst. Man Cybern. Syst., 2020)

UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm. - Jing Liu 029; Aya Hussein; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (SSCI, 2021)

Self-Learning in Aerial Robotics Using Type-2 Fuzzy Systems: Case Study in Hovering Quadrotor Flight Control. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Access, 2021)

Robust Multi-Robot Coverage of Unknown Environments using a Distributed Robot Swarm. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (CoRR, 2021)

Multi-vehicle formation control and obstacle avoidance using negative-imaginary systems theory. - Vu Phi Tran; Matthew A. Garratt; Ian R. Petersen (IFAC J. Syst. Control., 2021)

Hybrid adaptive negative imaginary- neural-fuzzy control with model identification for a quadrotor. - Vu Phi Tran; Mohamed Abdalla Mabrok; Matthew A. Garratt; Ian R. Petersen (IFAC J. Syst. Control., 2021)

State-of-the-Art Integrated Guidance and Control Systems in Unmanned Vehicles: A Review. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Syst. J., 2021)

Adaptive Trajectory Tracking for Quadrotor Systems in Unknown Wind Environments Using Particle Swarm Optimization-Based Strictly Negative Imaginary Controllers. - Vu Phi Tran; Fendy Santoso; Matthew A. Garratt (IEEE Trans. Aerosp. Electron. Syst., 2021)

Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review. - Essam Soliman Debie; Raul Fernandez Rojas; Justin Fidock; Michael Barlow 001; Kathryn Kasmarik; Sreenatha G. Anavatti; Matt Garratt; Hussein A. Abbass (IEEE Trans. Cybern., 2021)

Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload With Minimum Swing. - Vu Phi Tran; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Ind. Electron., 2021)

Fuzzy Self-Tuning of Strictly Negative-Imaginary Controllers for Trajectory Tracking of a Quadcopter Unmanned Aerial Vehicle. - Vu Phi Tran; Fendy Santoso; Matthew A. Garratt; Ian R. Petersen (IEEE Trans. Ind. Electron., 2021)

Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controllers for Unmanned Aerial Vehicles in Time-Varying Environments. - Vu Phi Tran; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Ind. Informatics, 2021)

Multiobjective Mission Route Planning Problem: A Neural Network-Based Forecasting Model for Mission Planning. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt (IEEE Trans. Intell. Transp. Syst., 2021)

Stable Adaptive Controller Based on Generalized Regression Neural Networks and Sliding Mode Control for a Class of Nonlinear Time-Varying Systems. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Hybrid PD-Fuzzy and PD Controllers for Trajectory Tracking of a Quadrotor Unmanned Aerial Vehicle: Autopilot Designs and Real-Time Flight Tests. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A Robust Hybrid of a Feedback Linearization Technique and an Interval Type-2 Fuzzy Control System for the Flapping Angle Dynamics of a Biomimetic Aircraft. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals. - Shadi Abpeikar; Kathryn Kasmarik; Matt Garratt (AI, 2022)

Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs. - Shadi Abpeikar; Kathryn Kasmarik; Phi Vu Tran; Matt Garratt (AI, 2022)

Decentralizing Self-organizing Maps. - Md Mohiuddin Khan; Kathryn Kasmarik; Matt Garratt (AI, 2022)

Lightweight Monocular Depth Estimation with an Edge Guided Network. - Xingshuai Dong; Matthew A. Garratt; Sreenatha G. Anavatti; Hussein A. Abbass; Junyu Dong (ICARCV, 2022)

Online Model-Free Reinforcement Learning for Output Feedback Tracking Control of a Class of Discrete-Time Systems With Input Saturation. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt (IEEE Access, 2022)

A survey, taxonomy and progress evaluation of three decades of swarm optimisation. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Kay Chen Tan; Hussein A. Abbass (Artif. Intell. Rev., 2022)

Image based Localization under large perspective difference between Sfm and SLAM using split sim(3) optimization. - Deepak Rajamohan; Jonghyuk Kim; Matt Garratt; Mark Pickering (Auton. Robots, 2022)

Response Component Analysis for Sea State Estimation Using Artificial Neural Networks and Vessel Response Spectral Data. - Nathan K. Long; Daniel Sgarioto; Matthew Garratt; Karl Sammut (CoRR, 2022)

Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (Expert Syst. Appl., 2022)

Automatic collective motion tuning using actor-critic deep reinforcement learning. - Shadi Abpeikar; Kathryn Kasmarik; Matthew Garratt; Robert A. Hunjet; Md Mohiuddin Khan; Huanneng Qiu (Swarm Evol. Comput., 2022)

Multi-operator continuous ant colony optimisation for real world problems. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (Swarm Evol. Comput., 2022)

Frontier-led swarming: Robust multi-robot coverage of unknown environments. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Shadi Abpeikar (Swarm Evol. Comput., 2022)

Real-Time Adaptive Intelligent Control System for Quadcopter Unmanned Aerial Vehicles With Payload Uncertainties. - Praveen Kumar Muthusamy; Matthew Garratt; Hemanshu Roy Pota; Rajkumar Muthusamy (IEEE Trans. Ind. Electron., 2022)

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey. - Xingshuai Dong; Matthew A. Garratt; Sreenatha G. Anavatti; Hussein A. Abbass (IEEE Trans. Intell. Transp. Syst., 2022)

MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation. - Xingshuai Dong; Matthew A. Garratt; Sreenatha G. Anavatti; Hussein A. Abbass (IEEE Trans. Intell. Transp. Syst., 2022)

A Robust Self-Adaptive Interval Type-2 TS Fuzzy Logic for Controlling Multi-Input-Multi-Output Nonlinear Uncertain Dynamical Systems. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Generating Collective Motion Behaviour Libraries Using Developmental Evolution. - Md Mohiuddin Khan; Kathryn Kasmarik; Michael Barlow 001; Shadi Abpeikar; Huanneng Qiu; Essam Soliman Debie; Matt Garratt (AI (2), 2023)

Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network. - Noha Khattab; Shadi Abpeikar; Kathryn Kasmarik; Matthew Garratt (IJCNN, 2023)

Bio-Inspired blimps and multiple-agent source localisation. - Michelle Rossouw; Sridhar Ravi; Matt Garratt (ROBIO, 2023)

The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security. - Harriet Farlow; Matthew Garratt; Gavin Mount; Timothy Lynar (CoRR, 2023)

Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles. - Asanka G. Perera; Vu Phi Tran; Sreenatha G. Anavatti; Kathryn Kasmarik; Matthew Garratt (CoRR, 2023)

Multi-gas source localization and mapping by flocking robots. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Alex S. Leong; Mohammad Zamani (Inf. Fusion, 2023)

Swarm Metaverse for Multi-Level Autonomy Using Digital Twins. - Hung The Nguyen 001; Aya Hussein; Matthew A. Garratt; Hussein A. Abbass (Sensors, 2023)

Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems. - Vu Phi Tran; Mohamed Abdalla Mabrok; Sreenatha G. Anavatti; Matthew A. Garratt; Ian R. Petersen (IEEE Trans. Cybern., 2023)

Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (IEEE CAA J. Autom. Sinica, 2023)

A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (Robotics, 2023)

Iterative transfer learning for automatic collective motion tuning on multiple robot platforms. - Shadi Abpeikar; Kathryn Kasmarik; Matt Garratt (Frontiers Neurorobotics, 2023)

Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles. - Vu Phi Tran; Asanka G. Perera; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (IEEE Trans. Intell. Transp. Syst., 2023)

Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving. - K. T. Yasas Mahima; Asanka G. Perera; Sreenatha G. Anavatti; Matt Garratt (Sensors, 2023)

Memes in the Machine: Ideological Propagation in Large Language Models. - Harriet Farlow; Claudio Ceruti; Matthew Garratt; Gavin Mount; Timothy Lynar (CogInfoCom, 2024)

Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Jiefei Wang; Phi Vu Tran; Md Meftahul Ferdaus (ECC, 2024)

Robust and Scalable Swarming of Quadruped Robots for Chemical, Biological, Radiological, and Nuclear Source Localisation. - Rafiqul Islam; Sreenatha G. Anavatti; Kathryn Kasmarik; Matt Garratt (ICMRE, 2024)

3DR-DIFF: Blind Diffusion Inpainting for 3D Point Cloud Reconstruction and Segmentation. - K. T. Yasas Mahima; Asanka G. Perera; Sreenatha G. Anavatti; Matt Garratt (IROS, 2024)

Beyond Words: Memetic Theory as a Lens to Expose Ideological Bias in Language Models. - Harriet Farlow; Claudio Ceruti; Matthew Garratt; Gavin Mount; Timothy Lynar (ISCMI, 2024)

An Active, Bio-Inspired Sensing Technique for In-Flight Monitoring and Control of Altitude. - Tran Xuan Bach Nguyen; Sridhar Ravi; Mandyam V. Srinivasan; Matthew A. Garratt (ROBIO, 2024)

Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings with Fixed One-Way Switching. - Vu Phi Tran; Asanka G. Perera; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (CoRR, 2024)

A hierarchical mission planning system for multi-uncrewed ground vehicles using fast cost evaluation and ant colony optimisation. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (Inf. Sci., 2024)

Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments. - Vu Phi Tran; Matthew A. Garratt; Sreenatha G. Anavatti; Sridhar Ravi (Swarm Evol. Comput., 2024)

Swarm Robotics: A Survey from a Multi-Tasking Perspective. - Essam Soliman Debie; Kathryn Kasmarik; Matt Garratt (ACM Comput. Surv., 2024)

Self-Organizing BFBEL Control System for a UAV Under Wind Disturbance. - Praveen Kumar Muthusamy; Bhivraj Suthar; Rajkumar Muthusamy; Matthew Garratt; Hemanshu Roy Pota; Lakmal D. Seneviratne; Yahya H. Zweiri (IEEE Trans. Ind. Electron., 2024)

Robust Adaptive Fuzzy Control for Second-Order Euler-Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory. - Vu Phi Tran; Mohamed Abdalla Mabrok; Sreenatha G. Anavatti; Matthew A. Garratt; Ian R. Petersen (IEEE Trans. Cybern., 2024)

Resilient Flight Control for a 32g Nano Helicopter. - Praveen Kumar Muthusamy; Vu Phi Tran; Matthew Garratt; Sreenatha G. Anavatti; Hemanshu R. Pota; Jia Ming Kok (IEEE Trans. Ind. Electron., 2024)

Toward Robust 3D Perception for Autonomous Vehicles: A Review of Adversarial Attacks and Countermeasures. - K. T. Yasas Mahima; Asanka G. Perera; Sreenatha G. Anavatti; Matt Garratt (IEEE Trans. Intell. Transp. Syst., 2024)

Impact of Environmental Changes on Optimized Robotics Collective Motion for Multi-objective Coverage Tasks. - Reda Ghanem; Ismail M. Ali; Kathryn Kasmarik; Matthew Garratt (EMO (1), 2025)

Optimizing and predicting swarming collective motion performance for coverage problems solving: A simulation-optimization approach. - Reda Ghanem; Ismail M. Ali; Shadi Abpeikar; Kathryn Kasmarik; Matthew Garratt (Eng. Appl. Artif. Intell., 2025)

FlowCraft: Unveiling adversarial robustness of LiDAR scene flow estimation. - K. T. Yasas Mahima; Asanka G. Perera; Sreenatha G. Anavatti; Matt Garratt (Pattern Recognit. Lett., 2025)

A Dual-Task Deep Reinforcement Learning and Domain Transfer Architecture for Bootstrapping Swarming Collective Motion Skills. - Shadi Abpeikar; Matt Garratt; Sreenatha G. Anavatti; Reda Ghanem; Kathryn Kasmarik (IEEE Syst. J., 2025)

Understanding visual attention beehind bee-inspired UAV navigation. - Pranav Rajbhandari; Abhi Veda; Matthew Garratt; Mandayam Srinivasan; Sridhar Ravi (CoRR, 2025)