Select Publications
Book Chapters
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
,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
,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/
,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, NY, USA
,Journal articles
2024, 'Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments', Swarm and Evolutionary Computation, 89, http://dx.doi.org/10.1016/j.swevo.2024.101615
,2024, 'Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings With Fixed One-Way Switching', Journal of Field Robotics, http://dx.doi.org/10.1002/rob.22441
,2024, 'Resilient Flight Control for a 32g Nano Helicopter', IEEE Transactions on Industrial Electronics, 71, pp. 16057 - 16067, http://dx.doi.org/10.1109/TIE.2024.3387096
,2024, 'Robust Adaptive Fuzzy Control for Second-Order Euler-Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory', IEEE Transactions on Cybernetics, 54, pp. 5102 - 5114, http://dx.doi.org/10.1109/TCYB.2024.3365554
,2023, 'Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 12506 - 12522, http://dx.doi.org/10.1109/TITS.2023.3285624
,2023, 'Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems', IEEE Transactions on Cybernetics, 53, pp. 5108 - 5120, http://dx.doi.org/10.1109/TCYB.2022.3175366
,2023, 'Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments', IEEE/CAA Journal of Automatica Sinica, 10, pp. 646 - 661, http://dx.doi.org/10.1109/JAS.2023.123087
,2023, 'Multi-gas source localization and mapping by flocking robots', Information Fusion, 91, pp. 665 - 680, http://dx.doi.org/10.1016/j.inffus.2022.11.001
,2022, 'Frontier Led Swarming: Robust Multi-robot coverage of Unknown Environments', Swarm and Evolutionary Computation, 75, pp. 101171, http://dx.doi.org/10.1016/j.swevo.2022.101171
,2021, 'Distributed Formation Control Using Fuzzy Self-Tuning of Strictly Negative Imaginary Consensus Controllers in Aerial Robotics', IEEE/ASME Transactions on Mechatronics, 26, pp. 2306 - 2315, http://dx.doi.org/10.1109/TMECH.2020.3036829
,2021, 'Adaptive Trajectory Tracking for Quadrotor Systems in Unknown Wind Environments Using Particle Swarm Optimization-Based Strictly Negative Imaginary Controllers', IEEE Transactions on Aerospace and Electronic Systems, 57, pp. 1742 - 1752, http://dx.doi.org/10.1109/TAES.2020.3048778
,2021, 'Hybrid adaptive negative imaginary- neural-fuzzy control with model identification for a quadrotor', IFAC Journal of Systems and Control, 16, http://dx.doi.org/10.1016/j.ifacsc.2021.100156
,2021, 'Multi-vehicle formation control and obstacle avoidance using negative-imaginary systems theory', IFAC Journal of Systems and Control, 15, pp. 100117, http://dx.doi.org/10.1016/j.ifacsc.2020.100117
,2020, 'Switching formation strategy with the directed dynamic topology for collision avoidance of a multi-robot system in uncertain environments', IET Control Theory and Applications, 14, pp. 2948 - 2959, http://dx.doi.org/10.1049/iet-cta.2020.0502
,2020, 'Switching time-invariant formation control of a collaborative multi-agent system using negative imaginary systems theory', Control Engineering Practice, 95, pp. 104245, http://dx.doi.org/10.1016/j.conengprac.2019.104245
,2020, 'Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controller for Unmanned Aerial Vehicles in Time-Varying Environments', IEEE Transactions on Industrial Informatics, pp. 1 - 1, http://dx.doi.org/10.1109/tii.2020.3004600
,2020, 'Fuzzy Self-Tuning of Strictly Negative-Imaginary Controllers for Trajectory Tracking of a Quadcopter Unmanned Aerial Vehicle', IEEE Transactions on Industrial Electronics, pp. 1 - 1, http://dx.doi.org/10.1109/tie.2020.2988219
,2020, 'Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload with Minimum Swing', IEEE Transactions on Industrial Electronics, pp. 1 - 1, http://dx.doi.org/10.1109/TIE.2020.3026302
,2019, 'Adaptive Second Order Strictly Negative Imaginary Controllers Based on the Interval Type-2 Fuzzy Self-Tuning Systems For a Hovering Quadrotor with Uncertainties', IEEE/ASME Transactions on Mechatronics, http://dx.doi.org/10.1109/TMECH.2019.2941525
,2018, 'Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments', , http://arxiv.org/abs/1811.06196v1
,2018, 'Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory', Control Engineering Practice, 95, pp. 2020, http://dx.doi.org/10.1016/j.conengprac.2019.104245
,Conference Papers
2024, 'Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties', in 2024 European Control Conference, ECC 2024, pp. 3777 - 3782, http://dx.doi.org/10.23919/ECC64448.2024.10591274
,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
,2022, 'A Multi-Agent Approach to Landing Speed Control with Angular Rate Stabilization for Multirotors', in 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings, http://dx.doi.org/10.1109/VPPC55846.2022.10003396
,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
,2018, 'Formation control of multi-UAVs using negative-imaginary systems theory', in 2017 Asian Control Conference, ASCC 2017, pp. 2031 - 2036, http://dx.doi.org/10.1109/ASCC.2017.8287487
,2018, 'Apprenticeship Bootstrapping via Deep Learning with a Safety Net for UAV-UGV Interaction', in AAAI Fall Symposia Papers, AAAI, Stanford USA, presented at Fifth AAAI Fall Symposium Series on Artificial Intelligence for Human-Robot Interaction, Stanford USA, - , https://aaai.org/Library/Symposia/symposia-library.php
,Conference Posters
(eds.), 2022, 'Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs', Sydney, Vol. 13151 LNAI, pp. 531 - 542, presented at Australian Joint Conference on Artificial Intelligence, Sydney, 02 February 2022 - 04 February 2022, http://dx.doi.org/10.1007/978-3-030-97546-3_43
,Preprints
2024, Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings with Fixed One-Way Switching, http://arxiv.org/abs/2407.01308v1
,2023, Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles, http://dx.doi.org/10.48550/arxiv.2312.03493
,2023, Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles, http://arxiv.org/abs/2306.04083v1
,2022, Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems, http://arxiv.org/abs/2203.13959v1
,2021, Frontier-led Swarming: Robust Multi-Robot Coverage of Unknown Environments, http://arxiv.org/abs/2111.14295v2
,2020, Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding, http://dx.doi.org/10.48550/arxiv.2004.11543
,2018, Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments, http://dx.doi.org/10.48550/arxiv.1811.06196
,2018, Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory, http://dx.doi.org/10.48550/arxiv.1811.06206
,2018, Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction, http://dx.doi.org/10.48550/arxiv.1810.04344
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