Matthew Garratt

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Multi-vehicle formation control and obstacle avoidance using negative-imaginary systems theory

Vu Phi Tran, Matthew Garratt, I. Petersen, 2021, IFAC J. Syst. Control..

Visual Tracking and LIDAR Relative Positioning for Automated Launch and Recovery of an Unmanned Rotorcraft from Ships at Sea

Matthew Garratt, Hemanshu R. Pota, Andrew Lambert, 2009 .

Biologically inspired climbing with a hexapedal robot

Matthew Garratt, Javaan Chahl, J. A. Saunders, 2008 .

Fuzzy Self-Tuning of Strictly Negative-Imaginary Controllers for Trajectory Tracking of a Quadcopter Unmanned Aerial Vehicle

Ian R. Petersen, Vu Phi Tran, Matthew Garratt, 2020 .

Multiobjective Mission Route Planning Problem: A Neural Network-Based Forecasting Model for Mission Planning

Matthew Garratt, Sreenatha G. Anavatti, Sumana Biswas, 2021, IEEE Transactions on Intelligent Transportation Systems.

Towards crossing the reality gap with evolved plastic neurocontrollers

Matthew Garratt, David Howard, Huanneng Qiu, 2020, GECCO.

A Comparison and Evaluation of Aeronautical Engineering Learning Outcomes using an Airborne Flight Laboratory and a Flight Simulator Laboratory.

Matthew Garratt, Raymond Colin Lewis, M. Garratt, 2016 .

For Review Only An Autonomous Recovery System for a Rotorcraft UAV Operating in rough Seas

Matthew Garratt, Hemanshu R. Pota, Xilin Yang, 2010 .

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

Matthew Garratt, Sreenatha G. Anavatti, Fendy Santoso, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Identification of a flexible aircraft using neural network

Matthew Garratt, Sreenatha G. Anavatti, Mahendra Kumar Samal, 2008 .

3D kinematic measurement of human movement using low cost fish-eye cameras

Mark R. Pickering, Matthew Garratt, Atiqul Islam, 2017, International Conference on Graphic and Image Processing.

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, Matthew Garratt, Sreenatha G. Anavatti, 2021, IEEE Transactions on Industrial Electronics.

Visual Control of an Autonomous Helicopter

Matthew Garratt, Javaan Chahl, 2003 .

Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding

Matthew Garratt, Jing Liu, Kathryn Kasmarik, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controllers for Unmanned Aerial Vehicles in Time-Varying Environments

Vu Phi Tran, Matthew Garratt, Sreenatha G. Anavatti, 2021, IEEE Transactions on Industrial Informatics.

Data for: PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles

Matthew Garratt, Mahardhika Pratama, Sreenatha G. Anavatti, 2020 .

Real-time path planning module for autonomous vehicles in cluttered environment using a 3D camera

Matthew Garratt, Sreenatha G. Anavatti, Sobers L. X. Francis, 2018 .

Non-linear position control for hover and automaticlanding of unmanned aerial vehicles

Matthew Garratt, Hemanshu R. Pota, Xilin Yang, 2012 .

T2-ETS-IE: A Type-2 Evolutionary Takagi–Sugeno Fuzzy Inference System With the Information Entropy-Based Pruning Technique

Matthew Garratt, Sreenatha G. Anavatti, Fendy Santoso, 2020, IEEE Transactions on Fuzzy Systems.

Dynamic model of autonomous ground vehicle for the path planning module

Matthew Garratt, Sreenatha G Anavatti, Sobers L X Francis, 2011, The 5th International Conference on Automation, Robotics and Applications.

Attitude control of a miniature helicopter using optimal sliding mode control

Matthew Garratt, Hemanshu R. Pota, Hamid Teimoori, 2012, 2012 2nd Australian Control Conference.

Real-time Neural Network based Identification of a Rotary-Wing UAV dynamics for autonomous flight

Matthew Garratt, Sreenatha Anavatti, Mahendra Kumar Samal, 2009, 2009 IEEE International Conference on Industrial Technology.

Model predictive attitude control of vario unmanned helicopter

Matthew Garratt, Hemanshu Pota, Mahendra Kumar Samal, 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

Sensing and control of a quadrotor using a visual inertial fusion method

Matthew Garratt, Andrew Lambert, Ping Li, 2015, 2015 15th International Conference on Control, Automation and Systems (ICCAS).

A utilitarian UAV design for NASA bioinspired flight control research

Matthew Garratt, Javaan Chahl, Dean Soccol, 2003 .

Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance pdf

Matthew Garratt, Lam Thu Bui, Hussein Abbass, 2020, ArXiv.

Biologically Inspired Vision and Control for an Autonomous Flying Vehicle

Matthew Garratt, M. Garratt, 2007 .

Drones become even more insect-like

Matthew Garratt, John Young, 2020, Science.

Decentralised Deadlock{Free Navigation for Multiple Vehicles in 2D and 3D Environments using Local Parametrised Trajectory Generation

Matthew Garratt, Michael Hoy, 2013 .

A Robust Self-Adaptive Interval Type-2 TS Fuzzy Logic for Controlling Multi-Input–Multi-Output Nonlinear Uncertain Dynamical Systems

Matthew Garratt, Sreenatha G. Anavatti, Fendy Santoso, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Neural Network Based System Identification for Autonomous Flight of an Eagle Helicopter

Matthew Garratt, Sreenatha G. Anavatti, Mahendra Kumar Samal, 2008 .

Evolving Spiking Neurocontrollers for UAVs

Matthew Garratt, Huanneng Qiu, Sreenatha Anavatti, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance

Matthew Garratt, Lam Thu Bui, Hung The Nguyen, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Online incremental and heuristic path planning for Autonomous Ground Vehicle

Matthew Garratt, Sreenatha G Anavatti, Sobers L X Francis, 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

A flight control scheme to improve position tracking performance of rotary-wing UASs

Matthew Garratt, Hemanshu R. Pota, Xilin Yang, 2013 .

Improvement of Light Field Feature

Matthew Garratt, Xi Chen, Murat Tahtali, 2019, 2019 IEEE 4th International Conference on Image, Vision and Computing (ICIVC).

Platform Enhancements and System Identification for Control of an Unmanned Helicopter

Matthew Garratt, Hemanshu R. Pota, Bilal Ahmed, 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

Development of Biomorphic Flyers

Matthew Garratt, Javaan Chahl, Mandyam V. Srinivasan, 2004 .

A homography-based visual inertial fusion method for robust sensing of a Micro Aerial Vehicle

Matthew Garratt, Ping Li, Andrew Lambert, 2015, 2015 IEEE International Conference on Mechatronics and Automation (ICMA).

Path-planning modules for Autonomous Vehicles: Current status and challenges

Matthew Garratt, Sreenatha G. Anavatti, Sobers Lx Francis, 2015, 2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA).

A nonlinear position controller for maritime operations of Rotary-wing UAVs

Matthew Garratt, Hemanshu R. Pota, Xilin Yang, 2011 .

REAL-TIME SCENE FLOW ESTIMATION AND OBSTACLE AVOIDANCE UNDER DIM-LIGHTCONDITION USING TIME OF FLIGHT (TOF) SENSOR

Matthew Garratt, Sreenatha G. Anavatti, Sobers Lx Francis, 2020 .

Model predictive flight controller for longitudinal and lateral cyclic control of an unmanned helicopter

Matthew Garratt, Hemanshu Pota, Mahendra Kumar Samal, 2012, 2012 2nd Australian Control Conference.

A computationally efficient approach for NN based system identification of a rotary wing UAV

Tapabrata Ray, Matthew Garratt, Sreenatha G. Anavatti, 2010 .

Collision free navigation of flying robots among moving obstacles

Andrey V. Savkin, Chao Wang, Matthew Garratt, 2016, 2016 35th Chinese Control Conference (CCC).

Ship Motion Prediction for Maritime Flight Operations

Matthew Garratt, Hemanshu R. Pota, Xilin Yang, 2008 .

Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding pdf

Hussein A. Abbass, Vu Phi Tran, Matthew Garratt, 2020, ArXiv.

Identification of an unmanned helicopter using neural network

Matthew Garratt, Sreenatha G. Anavatti, Mahendra Kumar Samal, 2008 .

Hybrid PD-Fuzzy and PD Controllers for Trajectory Tracking of a Quadrotor Unmanned Aerial Vehicle: Autopilot Designs and Real-Time Flight Tests

Matthew Garratt, Sreenatha G. Anavatti, Fendy Santoso, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Extended and Unscented Kalman Filters for attitude estimation of an Unmanned Aerial Vehicle

Matthew Garratt, Sreenatha G. Anavatti, Abhijit G. Kallapur, 2008 .

Multi-sensor data fusion for UAV navigation during landing operations

Matthew Garratt, Luis Mejías Alvarez, Xilin Yang, 2011, ICRA 2011.

Obstacle avoidance in cluttered environments using optic flow

Matthew Garratt, Allen Cheung, A. Cheung, 2009, ICRA 2009.

Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments

Matthew Garratt, Kathryn Kasmarik, Justin Fidock, 2020, Frontiers in Neuroscience.

Robust Hybrid Nonlinear Control Systems for the Dynamics of a Quadcopter Drone

Ian R. Petersen, Matthew Garratt, Sreenatha G. Anavatti, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task

Matthew Garratt, Lam Thu Bui, Hussein Abbass, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

FPGA Implementation of an Optic Flow Sensor using the Image Interpolation Algorithm

Matthew Garratt, Andrew Lambert, T. Guillemette, 2009 .

A ToF-Camera as a 3D Vision Sensor for Autonomous Mobile Robotics

Matthew Garratt, Sreenatha G. Anavatti, Sobers L. X. Francis, 2015 .

An overview of insect-inspired guidance for application in ground and airborne platforms

Matthew Garratt, Shaowu Zhang, Javaan Chahl, 2004 .

Distributed Formation Control Using Fuzzy Self-Tuning of Strictly Negative Imaginary Consensus Controllers in Aerial Robotics

Ian R. Petersen, Vu Phi Tran, Matthew Garratt, 2021, IEEE/ASME Transactions on Mechatronics.

State-of-the-Art Integrated Guidance and Control Systems in Unmanned Vehicles: A Review

Matthew Garratt, Sreenatha G. Anavatti, Fendy Santoso, 2021, IEEE Systems Journal.

An Accurate Attitude Estimation Using Panoramic Vision and An Extended Kalman Filter

Matthew Garratt, Sreenatha G. Anavatti, Mohsen. H. Tehrani, 2013 .

Self-Evolving Neural Control for a Class of Nonlinear Discrete-Time Dynamic Systems With Unknown Dynamics and Unknown Disturbances

Matthew Garratt, Sreenatha G. Anavatti, Ahmad Jobran Al-Mahasneh, 2020, IEEE Transactions on Industrial Informatics.

Switching formation strategy with the directed dynamic topology for collision avoidance of a multi‐robot system in uncertain environments

Ian R. Petersen, Vu Phi Tran, Matthew Garratt, 2020, IET Control Theory & Applications.

Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization

Matthew Garratt, Sreenatha G. Anavatti, Sumana Biswas, 2017 .

Flight Test Results of a 2D Snapshot Hover

Matthew Garratt, Ping Li, Andrew Lambert, 2013 .

A Time-Efficient Co-Operative Path Planning Model Combined with Task Assignment for Multi-Agent Systems

Matthew Garratt, Sreenatha G. Anavatti, Sumana Biswas, 2019, Robotics.

Switching time-invariant formation control of a collaborative multi-agent system using negative imaginary systems theory

Ian R. Petersen, Vu Phi Tran, Matthew Garratt, 2020 .

Dynamic path planning algorithm for autonomous vehicles in cluttered environments

Matthew Garratt, Sreenatha Anavatti, Jiefei Wang, 2016, 2016 IEEE International Conference on Mechatronics and Automation.

Mission Planning for Shepherding a Swarm of Uninhabited Aerial Vehicles

Hussein A. Abbass, Matthew Garratt, Sreenatha G. Anavatti, 2021 .

Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review

Matthew Garratt, Kathryn Kasmarik, Michael Barlow, 2019, IEEE Transactions on Cybernetics.

Robust hybrid Strictly Negative Imaginary-adaptive Neural-Fuzzy tracking control system and adaptive hybrid model identification for a quadrotor drone

Ian R. Petersen, Vu Phi Tran, Matthew Garratt, 2021 .

Simulating Single and Multiple Sheepdogs Guidance of a Sheep Swarm

Hussein A. Abbass, Matthew Garratt, Daniel P. Baxter, 2021 .

Autonomous recommender system for reconnaissance tasks using a swarm of UAVs and asynchronous shepherding

Hussein A. Abbass, Matthew Garratt, Sreenatha G. Anavatti, 2021 .

Multi-operator continuous ant colony optimisation for real world problems

Hussein A. Abbass, Matthew Garratt, Sreenatha Anavatti, 2021, Swarm Evol. Comput..

Real-Time Adaptive Intelligent Control System for Quadcopter Unmanned Aerial Vehicles With Payload Uncertainties

Matthew Garratt, Rajkumar Muthusamy, Hemanshu Pota, 2022, IEEE Transactions on Industrial Electronics.

Evolutionary aerial robotics: the human way of learning

Matthew Garratt, Sreenatha G. Anavatti, Fendy Santoso, 2021 .

Investigation into the Practicability of Differential Lift-Based Spacecraft Rendezvous

Matthew Garratt, Russell R. Boyce, Laurie Brown, 2017 .

Adding Optical Flow into the GPS/INS Integration for UAV navigation

Matthew Garratt, Ali Almagbile, Weidong Ding, 2009 .

Multi-vessel sea state estimation utilising swarm shepherding

Hussein A. Abbass, Matthew Garratt, Karl Sammut, 2019 .

Onboard Hover Control of a Quadrotor using Template Matching and Optic Flow

Matthew Garratt, Ping Li, Andrew Lambert, 2013 .

Real-time dense scene flow estimation using a RGB-D camera

Matthew Garratt, Sreenatha Anavatti, Jiefei Wang, 2015, 2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA).

Horizon-Based Attitude Estimation from a Panoramic Vision Sensor

Matthew Garratt, Sreenatha G. Anavatti, Mohsen H. Tehrani, 2012 .