Select Publications

Conference Papers

Abpeikar S; Kasmarik K; Garratt M, 2023, 'A Mechanism for Transferring Evolved Collective Motion Behaviour Libraries onto Real Collective Robots', in Australasian Conference on Robotics and Automation, ACRA, Sydney, Australia, presented at Australasian Conference on Robotics and Automation, Sydney, Australia, 04 December 2023, https://ssl.linklings.net/conferences/acra/acra2023_proceedings/views/at_a_glance.html

Perera A; Kasmarik K; Anavatti S; Tran P; Garratt M, 2023, 'Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles', in Australasian Conference on Robotics and Automation, ACRA, Sydney Australia, presented at Australasian Conference on Robotics and Automation, Sydney Australia, 04 December 2023, https://ssl.linklings.net/conferences/acra/acra2023_proceedings/views/includes/files/pap143s2.pdf

Abpeikar S; Kasmarik K; Garratt M, 2023, 'Automatic Multi-Class Collective Motion Recognition Using a Decision Forest Extracted from Neural Networks', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, Canberra, presented at IEEE TenSymp, Canberra, 05 September 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223653

Khattab N; Kasmarik K; Abpeikar S; Garratt M, 2023, 'Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video Using a Deep Neural Network', in 2023 International Joint Conference on Neural Networks (IJCNN), IEEE, Brisbane, Australia, presented at International Joint Conference on Neural Networks, Brisbane, Australia, 18 June 2023 - 23 June 2023, http://dx.doi.org/10.1109/IJCNN54540.2023.10191933

Rossouw MI; Ravi S; Garratt MA, 2023, 'Correction: An Open-Source Autopilot and Source Localisation for Bio-Inspired Miniature Blimps', in AIAA SCITECH 2023 Forum, American Institute of Aeronautics and Astronautics, presented at AIAA SCITECH 2023 Forum, http://dx.doi.org/10.2514/6.2023-1731.c1

Rossouw M; Ravi S; Garratt M, 2023, 'Bio-Inspired blimps and multiple-agent source localisation', in 2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023, http://dx.doi.org/10.1109/ROBIO58561.2023.10354821

Farlow H; Garratt M; Mount G; Lynar T, 2023, 'The Race to Robustness: Exploiting Fragile Models for Urban Camouflage and the Imperative for Machine Learning Security', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223620

Kasmarik K; Debie E; Abpeikar S; Garratt M; Qiu H; Barlow M; Khan M, 2023, 'Generating Collective Motion Behaviour Libraries using Developmental Evolution', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Brisbane, pp. 441 - 452, presented at Australasian Joint Conference on Artificial Intelligence, Brisbane, http://dx.doi.org/10.1007/978-981-99-8391-9_35

Dong X; Garratt MA; Anavatti SG; Abbass HA; Dong J, 2022, 'Lightweight Monocular Depth Estimation with an Edge Guided Network', in 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, pp. 204 - 210, http://dx.doi.org/10.1109/ICARCV57592.2022.10004313

Lin TX; Zhang F; Rossouw M; Garratt MAB; Ravi S; Schuler TK; Maxseiner AB; Sofge DA; Lofaro DM, 2022, 'Miniature Autonomous Blimps for Indoor Applications', in AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022, American Institute of Aeronautics and Astronautics (AIAA), presented at AIAA SCITECH 2022 Forum, http://dx.doi.org/10.2514/6.2022-1834

Mabrok MA; Tran VP; Petersen IR; Garratt MA, 2022, 'Robust adaptive learning control for different classes of dissipative vehicle systems', in 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings, http://dx.doi.org/10.1109/VPPC55846.2022.10003416

Abpeikar S; Kasmarik K; Garratt M, 2022, 'Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Perth, Australia, pp. 761 - 774, presented at Australasian Joint Conference on Artificial Intelligence, Perth, Australia, http://dx.doi.org/10.1007/978-3-031-22695-3_53

Khan M; Kasmarik K; Garratt M, 2022, 'Decentralizing Self-organizing Maps', in Long G; Yu X; Wang S (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Sydney, Australia, pp. 480 - 493, presented at AJCAI, Sydney, Australia, - 04 February 2022, http://dx.doi.org/10.1007/978-3-030-97546-3_39

Liu J; Hussein A; Anavatti S; Garratt M; Abbass HA, 2021, 'UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm', in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings, http://dx.doi.org/10.1109/SSCI50451.2021.9659847

Nguyen HT; Garratt M; Bui LT; Abbass H, 2020, 'Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise during Swarm Guidance', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2257 - 2264, http://dx.doi.org/10.1109/SSCI47803.2020.9308448

Qiu H; Garratt M; Howard D; Anavatti S, 2020, 'Evolving Spiking Neurocontrollers for UAVs', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 1928 - 1935, http://dx.doi.org/10.1109/SSCI47803.2020.9308275

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2020, 'Online System Identification for Nonlinear Uncertain Dynamical Systems Using Recursive Interval Type-2 TS Fuzzy C-means Clustering', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 1695 - 1701, http://dx.doi.org/10.1109/SSCI47803.2020.9308202

Rajamohan D; Garratt M; Pickering M, 2020, 'A 3D-2D Registration Method for Stereo Scan Overlay on Structure from Motion Model', in 2020 Digital Image Computing: Techniques and Applications, DICTA 2020, http://dx.doi.org/10.1109/DICTA51227.2020.9363423

Kasmarik K; Abpeikar S; Khan MM; Khattab N; Barlow M; Garratt M, 2020, 'Autonomous Recognition of Collective Behaviour in Robot Swarms', in Gallagher M; Moustafa N; Lakshika E (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Canberra, Australia, pp. 281 - 293, presented at 33rd Australasian Joint Conference on Artificial Intelligence, Canberra, Australia, 29 November 2020, http://dx.doi.org/10.1007/978-3-030-64984-5_22

Crockett K; Garratt M; Latham A; Colyer E; Goltz S, 2020, 'Risk and Trust Perceptions of the Public of Artifical Intelligence Applications', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207654

Qiu H; Garratt M; Howard D; Anavatti S, 2020, 'Towards crossing the reality gap with evolved plastic neurocontrollers', in GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pp. 130 - 138, http://dx.doi.org/10.1145/3377930.3389843

Al-Mahturi A; Santoso F; Garratt M; Anavatti S, 2020, 'A Simplified Model-Free Self-Evolving TS Fuzzy Controller for Nonlinear Systems with Uncertainties', in IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS2020), IEEE, Italy, presented at IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS2020), Italy, http://dx.doi.org/10.1109/EAIS48028.2020.9122771

Nguyen T; Liu J; Nguyen H; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding', Glasgow, presented at IJCNN 2020, Glasgow

Nguyen H; Nguyen T; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass H, 2019, 'A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms', in Gedeon T; Wong KW; Lee M (eds.), Lecture Notes in Computer Science. Neural Information Processing. Proceedings, Part 1, Springer, Cham, Sydney, pp. 658 - 669, presented at International Conference on Neural Information Processing, Sydney, 12 December 2019 - 15 December 2019, http://dx.doi.org/10.1007/978-3-030-36708-4_54

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Abbass H; Garratt M, 2019, 'Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming', in Gedeon T; Wong KW; Lee M (eds.), Neural information processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings. Part IV, Springer Nature, Sydney, pp. 530 - 539, presented at International Conference on Neural Information Processing, Sydney, 12 December 2019 - 15 December 2019, http://dx.doi.org/10.1007/978-3-030-36808-1_58

Nguyen HT; Garratt M; Bui LT; Abbass H, 2019, 'Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 102 - 109, http://dx.doi.org/10.1109/SSCI44817.2019.9002756

Liu J; Anavatti S; Hussein Abbass MG, 2019, 'Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 2287 - 2294, http://dx.doi.org/10.1109/SSCI44817.2019.9002992

Al-Mahasneh AJ; Anavatti SG; Garratt MA, 2019, 'Evolving General Regression Neural Networks for Learning from Noisy Datasets', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 1473 - 1478, http://dx.doi.org/10.1109/SSCI44817.2019.9003073

Ferdaus MM; Anavatti SG; Garratt MA; Pratama M, 2019, 'Red-FLC: An Adaptive Fuzzy Logic Controller with Reduced Learning Parameters', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 513 - 518, http://dx.doi.org/10.1109/SSCI44817.2019.9003080

Long N; Sgarioto D; Garratt M; Sammut K; Abbass H, 2019, 'Multi-vessel Sea State Estimation Utilising Swarm Shepherding', Sydney, Australia, presented at 2019 Pacific International Maritime Conference, Sydney, Australia, 08 October 2019 - 10 October 2019, http://code4.co/papers2019/Session-5-Nathan-K-Long.pdf

Long NK; Sgarioto D; Garratt M; Sammut K; Abbass H, 2019, 'Multi-vessel sea state estimation utilising swarm shepherding', in RINA, Royal Institution of Naval Architects - IMC 2019: Pacific International Maritime Conference, Sydney, Australia, presented at presented at 2019 Pacific International Maritime Conference, Sydney, Australia, 08 October 2019 - 10 October 2019,, Sydney, Australia, 08 October 2019 - 10 October 2019

Al-Mahturi A; Santoso F; Garratt M; Anavatti S; Ferdaus MM, 2019, 'Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data', IEEE, China, presented at IEEE Symposium Series on Computational Intelligence, China, 06 September 2019 - 09 September 2019, http://dx.doi.org/10.1109/SSCI44817.2019.9003012

xi C; Tahtali M; Garratt M; Pickering M, 2019, 'Improvement of Light Field Feature', in 2019 IEEE 4th International Conference on Image, Vision and Computing (ICIVC), IEEE, Xiamen, China, presented at 2019 IEEE 4th International Conference on Image, Vision and Computing (ICIVC), Xiamen, China, 05 July 2019 - 07 July 2019, http://dx.doi.org/10.1109/icivc47709.2019.8981019

Al-Mahturi A; Santoso F; Garratt M; Anavatti S, 2019, 'A Robust Adaptive Interval Type-2 Fuzzy Control for Autonomous Underwater Vehicles', IEEE, Bali, Indonesia, presented at IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), Bali, Indonesia, 01 July 2019 - 03 July 2019, http://dx.doi.org/10.1109/ICIAICT.2019.8784855

Biswas S; Anavatti SG; Garratt MA, 2019, 'A particle swarm optimization based path planning method for autonomous systems in unknown terrain', in Proceedings - 2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2019, pp. 57 - 63, http://dx.doi.org/10.1109/ICIAICT.2019.8784851

Al-Mahasneh AJ; Anavatti SG; Ferdaus M; Garratt MA, 2019, 'Adaptive neural altitude control and attitude stabilization of a hexacopter with uncertain dynamics', in Proceedings - 2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2019, pp. 44 - 49, http://dx.doi.org/10.1109/ICIAICT.2019.8784844

Ferdaus M; Anavatti SG; Al-Mahasneh AJ; Pratama M; Garratt MA, 2019, 'Development of hyperplane-based adaptive T-S fuzzy controller for micro aerial robots', in Proceedings - 2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2019, pp. 50 - 56, http://dx.doi.org/10.1109/ICIAICT.2019.8784726

Al-Mahturi A; Santoso F; Garratt M; Anavatti SG, 2019, 'An Intelligent Control of an Inverted Pendulum Based on Adaptive Interval Type-2 Fuzzy Inference System', IEEEE, New Orleans, Louisiana, USA, presented at IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019), New Orleans, Louisiana, USA, 23 June 2019 - 26 June 2019, http://dx.doi.org/10.1109/FUZZ-IEEE.2019.8858948

Crockett K; Goltz S; Garratt M; Latham A, 2019, 'Trust in Computational Intelligence Systems: A Case Study in Public Perceptions', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 3227 - 3234, http://dx.doi.org/10.1109/CEC.2019.8790147

Rajamohan D; Pickering M; Garratt M, 2019, 'Using Edge Position Difference and Pixel Correlation for Aligning Stereo-Camera Generated 3D Scans', in 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, http://dx.doi.org/10.1109/DICTA.2018.8615836

Ferdaus MM; Garratt M; Anavatti S, 2018, 'A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR. Drone Quadcopter', in Sundaram S (ed.), Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, Institute of Electrical and Electronics Engineers (IEEE), Bangalore, India, pp. 2026 - 2032, presented at 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, 18 November 2018 - 21 November 2018, http://dx.doi.org/10.1109/SSCI.2018.8628815

Al-Mahasneh AJ; Anavatti S; Garratt M; Al-Mahasneh AJ, 2018, 'Evolving General Regression Neural Networks using Limited Incremental Evolution for Data-Driven Modeling of Non-linear Dynamic Systems', in Sundaram S (ed.), Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, Institute of Electrical and Electronics Engineers (IEEE), Bangalore, India, pp. 335 - 341, presented at 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, 18 November 2018 - 21 November 2018, http://dx.doi.org/10.1109/SSCI.2018.8628909

Al-Mahturi A; Santoso F; Garratt M; Anavatti S, 2018, 'Nonlinear Altitude Control of a Quadcopter Drone Using Interval Type-2 Fuzzy Logic', in Sundaram S (ed.), 2018 Symposium Series on Computational Intelligence, IEEE, Bangalore, India, pp. 236 - 241, presented at IEEE Symposium Series on Computational Intelligence, Bangalore, India, 18 November 2018 - 21 November 2018, http://dx.doi.org/10.1109/SSCI.2018.8628836

Qiu H; Garratt M; Howard D; Anavatti S, 2018, 'Evolving Spiking Neural Networks for Nonlinear Control Problems', BENGALURU, INDIA, presented at 2018 IEEE Symposium Series on Computational Intelligence (SSCI), BENGALURU, INDIA, 18 November 2018 - 21 November 2018, http://dx.doi.org/10.1109/SSCI.2018.8628848

Yazid E; Garratt M; Santoso F, 2018, 'Optimal PD Tracking Control of a Quadcopter Drone Using Adaptive PSO Algorithm', in 2018 International Conference on Computer, Control, Informatics and its Applications, IEEE, Indonesia, pp. 146 - 151, presented at International Conference on Computer, Control, Informatics and its Applications, Indonesia, 01 November 2018 - 02 November 2018, http://dx.doi.org/10.1109/IC3INA.2018.8629504

Crockett K; Goltz S; Garratt M, 2018, 'GDPR Impact on Computational Intelligence Research', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489614

Santoso F; Garratt M; Anavatti S; Hassanein O, 2018, 'Entropy Fuzzy System Identification for the Dynamics of the Dragonfly-like Flapping Wing Aircraft', in 2018 IEEE World Congress on Computational Intelligence, IEEE, Rio de Janeiro, Brazil, pp. 1 - 8, presented at 2018 IEEE World Congress on Computational Intelligence, Rio de Janeiro, Brazil, 08 July 2018 - 13 July 2018, http://dx.doi.org/10.1109/FUZZ-IEEE.2018.8491528

Ferdaus MM; Pratama M; Anavatti SG; Garratt M, 2018, 'A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, pp. 2784 - 2791, http://dx.doi.org/10.1109/SMC.2018.00475

Muthusamy PK; Garratt M; Pota H; Wang J; Kok JM, 2018, 'Bidirectional Fuzzy Brain Emotional Learning Control for Aerial Robots', in Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, pp. 146 - 153, http://dx.doi.org/10.1109/SSCI.2018.8628809

Ferdaus MM; Anavatti SG; Garratt MA; Pratama M, 2018, 'Evolving fuzzy inference system based online identification and control of a quadcopter unmanned aerial vehicle', in Proceeding - ICAMIMIA 2017: International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, pp. 223 - 228, http://dx.doi.org/10.1109/ICAMIMIA.2017.8387591


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