Matthew Garratt

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 41

Top Topics

Ant Colony Optimisation

Ground Vehicles

Optimisation Algorithm

Reinforcement Learning

Top Venues

Swarm Evol. Comput.

Publications

Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
A hierarchical mission planning system for multi-uncrewed ground vehicles using fast cost evaluation and ant colony optimisation. Inf. Sci. 679 (2024)
Praveen Kumar Muthusamy, Bhivraj Suthar, Rajkumar Muthusamy, Matthew Garratt, Hemanshu Roy Pota, Lakmal D. Seneviratne, Yahya H. Zweiri
Self-Organizing BFBEL Control System for a UAV Under Wind Disturbance. IEEE Trans. Ind. Electron. 71 (5) (2024)
Harriet Farlow, Matthew Garratt, Gavin Mount, Tim Lynar
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security. CoRR (2023)
Asanka G. Perera, Vu Phi Tran, Sreenatha G. Anavatti, Kathryn Kasmarik, Matthew Garratt
Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles. CoRR (2023)
Noha Khattab, Shadi Abpeikar, Kathryn Kasmarik, Matthew Garratt
Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network. IJCNN (2023)
Nathan K. Long, Daniel Sgarioto, Matthew Garratt, Karl Sammut
Response Component Analysis for Sea State Estimation Using Artificial Neural Networks and Vessel Response Spectral Data. CoRR (2022)
Praveen Kumar Muthusamy, Matthew Garratt, Hemanshu Roy Pota, Rajkumar Muthusamy
Real-Time Adaptive Intelligent Control System for Quadcopter Unmanned Aerial Vehicles With Payload Uncertainties. IEEE Trans. Ind. Electron. 69 (2) (2022)
Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Kay Chen Tan, Hussein A. Abbass
A survey, taxonomy and progress evaluation of three decades of swarm optimisation. Artif. Intell. Rev. 55 (5) (2022)
Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning. Expert Syst. Appl. 196 (2022)
Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
Multi-operator continuous ant colony optimisation for real world problems. Swarm Evol. Comput. 69 (2022)
Shadi Abpeikar, Kathryn Kasmarik, Matthew Garratt, Robert A. Hunjet, Md Mohiuddin Khan, Huanneng Qiu
Automatic collective motion tuning using actor-critic deep reinforcement learning. Swarm Evol. Comput. 72 (2022)
Jing Liu, Aya Hussein, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm. SSCI (2021)
Nathan K. Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein A. Abbass
A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach. IEEE Trans. Emerg. Top. Comput. Intell. 4 (4) (2020)
Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass
Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance. SSCI (2020)
Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
Evolving Spiking Neurocontrollers for UAVs. SSCI (2020)
Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
Towards crossing the reality gap with evolved plastic neurocontrollers. GECCO (2020)
Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
Crossing the Reality Gap with Evolved Plastic Neurocontrollers. CoRR (2020)
Hung The Nguyen, Tung Nguyen, Vu Phi Tran, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass
Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding. CoRR (2020)
Tung Nguyen, Jing Liu, Hung Nguyen, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. IJCNN (2020)
Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass
Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance. CoRR (2020)
Deepak Rajamohan, Matthew Garratt, Mark Pickering
A 3D-2D Registration Method for Stereo Scan Overlay on Structure from Motion Model. DICTA (2020)
Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
Evolving Spiking Neural Networks for Nonlinear Control Problems. CoRR (2019)
Raul Fernandez Rojas, Essam Soliman Debie, Justin Fidock, Michael Barlow, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming. ICONIP (4) (2019)
Edwar Yazid, Matthew Garratt, Fendy Santoso
Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi-Sugeno-Kang fuzzy logic autopilots. Appl. Soft Comput. 78 (2019)
Nathan K. Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein A. Abbass
A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach. CoRR (2019)
Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass
Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task. SSCI (2019)
Hung The Nguyen, Tung D. Nguyen, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass
A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. ICONIP (1) (2019)
Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass
Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning. SSCI (2019)
Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
Evolving Spiking Neural Networks for Nonlinear Control Problems. SSCI (2018)
Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass
Apprenticeship Bootstrapping: Inverse Reinforcement Learning in a Multi-Skill UAV-UGV Coordination Task. AAMAS (2018)
Praveen Kumar Muthusamy, Matthew Garratt, Hemanshu Roy Pota, Jiefei Wang, Jia Ming Kok
Bidirectional Fuzzy Brain Emotional Learning Control for Aerial Robots. SSCI (2018)
Deepak Rajamohan, Mark Pickering, Matthew Garratt
Using Edge Position Difference and Pixel Correlation for Aligning Stereo-Camera Generated 3D Scans. DICTA (2018)
Chao Wang, Andrey V. Savkin, Matthew Garratt
A strategy for safe 3D navigation of non-holonomic robots among moving obstacles. Robotica 36 (2) (2018)
Tung Nguyen, Hung The Nguyen, Essam Soliman Debie, Kathryn Kasmarik, Matthew Garratt, Hussein A. Abbass
Swarm Q-Leaming With Knowledge Sharing Within Environments for Formation Control. IJCNN (2018)
Vu Phi Tran, Matthew Garratt, Ian R. Petersen
Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory. CoRR (2018)
Vu Phi Tran, Matthew Garratt, Ian R. Petersen
Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments. CoRR (2018)
Hung The Nguyen, Matthew Garratt, Hussein A. Abbass
Apprenticeship Bootstrapping. IJCNN (2018)
Hung The Nguyen, Vu Phi Tran, Tung Nguyen, Matthew Garratt, Kathryn Kasmarik, Michael Barlow, Sreenatha G. Anavatti, Hussein A. Abbass
Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction. CoRR (2018)
Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew Garratt
A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System. SMC (2018)
Vu Phi Tran, Matthew Garratt, Ian R. Petersen
Formation control of multi-UAVs using negative-imaginary systems theory. ASCC (2017)
Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass
Supervised deep actor network for imitation learning in a ground-air UAV-UGVs coordination task. SSCI (2017)
Xilin Yang, Matthew Garratt, Hemanshu Roy Pota
Monotonous Trend Estimation of Deck Displacement for Automatic Landing of Rotorcraft UAVs. J. Intell. Robotic Syst. 61 (1-4) (2011)
Xilin Yang, Matthew Garratt, Hemanshu Roy Pota
Flight validation of a feedforward gust-attenuation controller for an autonomous helicopter. Robotics Auton. Syst. 59 (12) (2011)
Xilin Yang, Hemanshu Roy Pota, Matthew Garratt
Design of a gust-attenuation controller for landing operations of Unmanned Autonomous Helicopters. CCA/ISIC (2009)
Bilal Ahmed, Hemanshu Roy Pota, Matthew Garratt
Flight control of a rotary wing UAV - a practical approach. CDC (2008)
Xilin Yang, Hemanshu Roy Pota, Matthew Garratt, Valery A. Ugrinovskii
Prediction of vertical motions for landing operations of UAVs. CDC (2008)
Abhijit G. Kallapur, Mahendra Kumar Samal, Vishwas R. Puttige, Sreenatha G. Anavatti, Matthew Garratt
A UKF-NN Framework for System Identification of Small Unmanned Aerial Vehicles. ITSC (2008)
Bilal Ahmed, Hemanshu Roy Pota, Matthew Garratt
Rotary wing UAV position control using backstepping. CDC (2007)
So-Ryeok Oh, Kaustubh Pathak, Sunil Kumar Agrawal, Hemanshu Roy Pota, Matthew Garratt
Approaches for a tether-guided landing of an autonomous helicopter. IEEE Trans. Robotics 22 (3) (2006)