By Professor Matt Garratt

Book Chapters

Abpeikar S; Kasmarik K; Tran PV; Garratt M; Anavatti S; Khan M, 2022, 'Chapter 8 Tuning swarm behavior for environmental sensing tasks represented as coverage problems', in Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, pp. 155 - 178, http://dx.doi.org/10.1016/b978-0-323-90508-4.00001-0

Liu J; Anavatti S; Garratt M; Abbass HA, 2021, 'Marriage in Honey Bees Optimization in Continuous Domains', in Handbook of AI-based Metaheuristics, CRC Press, pp. 43 - 72, http://dx.doi.org/10.1201/9781003162841-4

Nguyen H; Garratt M; Abbass H, 2021, 'Apprenticeship Bootstrapping Reinforcement Learning for Sky Shepherding of a Ground Swarm in Gazebo', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 207 - 243, http://dx.doi.org/10.1007/978-3-030-60898-9_10

Fernandez Rojas R; Debie E; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Human Performance Operating Picture for Shepherding a Swarm of Autonomous Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 293 - 323, http://dx.doi.org/10.1007/978-3-030-60898-9_13

Liu J; Garratt M; Anavatti S; Abbass H, 2021, 'Mission Planning for Shepherding a Swarm of Uninhabited Aerial Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 87 - 114, http://dx.doi.org/10.1007/978-3-030-60898-9_5

Long N; Garratt M; sammut K; sgarioto D; Abbass H, 2021, 'Shepherding Autonomous Goal-Focused Swarms in Unknown Environments Using Hilbert Space-Filling Paths', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 31 - 50, http://dx.doi.org/10.1007/978-3-030-60898-9_2

Baxter D; Garratt M; Abbass H, 2021, 'Simulating Single and Multiple Sheepdogs Guidance of a Sheep Swarm', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 51 - 65, http://dx.doi.org/10.1007/978-3-030-60898-9_3

Debie E; Fernandez Rojas R; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Transparent Shepherding: A Rule-Based Learning Shepherd for Human Swarm Teaming', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 267 - 292, http://dx.doi.org/10.1007/978-3-030-60898-9_12

Santoso F; Garratt M; Anavatti S; Wang J, 2021, 'Evolutionary aerial robotics: the human way of learning', in Unmanned Aerial Systems Theoretical Foundation and Applications, Academic Press, pp. 1 - 23, http://dx.doi.org/10.1016/B978-0-12-820276-0.00008-X

Biswas S; Anavatti S; Garratt M, 2021, 'Path planning and task assignment for multiple UAVs in dynamic environments', in Unmanned Aerial Systems Theoretical Foundation and Applications, Academic Press, pp. 81 - 102, http://dx.doi.org/10.1016/B978-0-12-820276-0.00011-X

Santoso F; Garratt MA; Anavatti SG; Wang J, 2021, 'Evolutionary aerial robotics: the human way of learning', in Unmanned Aerial Systems: Theoretical Foundation and Applications, pp. 1 - 23, http://dx.doi.org/10.1016/b978-0-12-820276-0.00008-x

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2021, 'Modeling and control of a quadrotor unmanned aerial vehicle using type-2 fuzzy systems', in Unmanned Aerial Systems: Theoretical Foundation and Applications, pp. 25 - 46, http://dx.doi.org/10.1016/b978-0-12-820276-0.00009-1

Biswas S; Anavatti SG; Garratt MA, 2021, 'Path planning and task assignment for multiple UAVs in dynamic environments', in Unmanned Aerial Systems: Theoretical Foundation and Applications, pp. 81 - 102, http://dx.doi.org/10.1016/b978-0-12-820276-0.00011-x

Francis S; Anavatti SG; Garratt M; Abbass HA, 2021, 'Real-Time Multi-obstacle Detection and Tracking Using a Vision Sensor for Autonomous Vehicle', in Communication and Intelligent Systems, pp. 873 - 883, http://dx.doi.org/10.1007/978-981-16-1089-9_67

Abpeikar S; Kasmarik K; Tran P; Garratt M; Anavatti S; Khan M, 2021, 'Tuning Swarm Behaviour for Environmental Sensing Tasks Represented as Coverage Problems', in Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, pp. 155 - 178, http://dx.doi.org/10.1016/B978-0-323-90508-4.00001-0

Tran V; Santoso F; Garratt M, 2020, 'A Fuzzy Logic-Based Adaptive Strictly Negative-Imaginary Formation Controller for Multi-Quadrotor Systems', in Qian D (ed.), A Closer Look at Formation Control, Nova Science Publisher, New York, USA, https://novapublishers.com/shop/a-closer-look-at-formation-control/

Al-Mahasneh AJ; Anavatti S; Garratt M; Pratama M; Al-Mahasneh AJ, 2018, 'Applications of General Regression Neural Networks in Dynamic Systems', in Digital Systems, IntechOpen, pp. 133 - 154, http://dx.doi.org/10.5772/intechopen.80258

Santoso F; Garratt M; Anavatti S, 2018, 'Fuzzy Systems for Modelling and Control in Aerial Robotics', in Er MJ; Wang N; Zhichao L; Pratama M (ed.), Intelligent Marine Vehicles Theory and Applications, Nova Science Publisher, New York, https://novapublishers.com/shop/intelligent-marine-and-aerial-vehicles-theory-and-applications/

Biswas S; Anavatti S; Garratt M, 2017, 'Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization', in Leu G; Singh HK; Elsayed S (ed.), Intelligent and Evolutionary Systems. Proceedings in Adaptation, Learning and Optimization 8, © Springer International Publishing, pp. 61 - 74, http://dx.doi.org/10.1007/978-3-319-49049-6_5

Francis SLX; anavatti S; garratt M, 2013, 'Model based path planning module', in Sen Gupta G; Bailey D; Demidenko S; Carnegie D (ed.), Recent Advances in Robotics and automation, Springer-Verlag, Berlin Heidelberg, pp. 81 - 90, http://dx.doi.org/10.1007/978-3-642-37387-9_6

Yang X; Garratt M; Pota H, 2010, 'Monotonous Trend Estimation of Deck Displacement for Automatic Landing of Rotorcraft UAVs', in Unmanned Aerial Vehicles, Springer Netherlands, pp. 267 - 285, http://dx.doi.org/10.1007/978-94-007-1110-5_18

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