ORCID as entered in ROS
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Select Publications
2015, 'Monocular Snapshot-based Sensing and Control of Hover, Takeoff, and Landing for a Low-cost Quadrotor', Journal of Field Robotics, pp. 984 - 1003, http://dx.doi.org/10.1002/rob.21574
,2012, 'Design of a 3D Snapshot based Visual Flight Control Systems using a Single Camera in Hover', Autonomous Robots, 34, pp. 19 - 34, http://dx.doi.org/10.1007/s10514-012-9310-3
,2012, 'Neural Network based Model Predictive Controller for Simplified Heave Model of an Unmanned Helicopter', Lecture Notes in Computer Science, 7677, pp. 356 - 363, http://dx.doi.org/10.1007/978-3-642-35380-2_42
,2012, 'Nonlinear Position Control for Hover and Automatic Landing of UAVs', IET Control Theory and Applications, 6, pp. 911 - 920, http://dx.doi.org/10.1049/iet-cta.2011.0046
,2012, 'Robust Backstepping Control for Longitudinal and Lateral Dynamics of Small Scale Helicopter', USTC Journal, 42, pp. 546 - 555, http://dx.doi.org/10.3969/j.issn.0253-2778.2012.07.005
,2011, 'Collision Free Navigation of an Autonomous Unmanned Helicopter in Unknown Urban Environments: Sliding Mode and MPC Approaches', Robotica, 29, pp. 1 - 14, http://dx.doi.org/10.1017/S0263574711000816
,2011, 'Flight validation of a feedforward gust-attenuation controller for an autonomous helicopter', Robotics and Autonomous Systems, 59, pp. 1070 - 1079, http://dx.doi.org/10.1016/j.robot.2011.08.004
,2011, 'Monotonous Trend Estimation of Deck Displacement for Automatic Landing of Rotorcraft UAVs', Journal of Intelligent and Robotic Systems, 61, pp. 267 - 285, http://dx.doi.org/10.1007/s10846-010-9474-z
,2011, 'Non-linear Control of Heave for an Unmanned Helicopter Using A Neural Network', Journal of Intelligent and Robotic Systems, pp. 1 - 10, http://dx.doi.org/10.1007/s10846-011-9634-9
,2010, 'A Computationally Efficient Approach for NN Based System Identification of a Rotary Wing UAV', International Journal of Control Automation and Systems, 8, pp. 727 - 734, http://www.springerlink.com/content/t4v7193l46333851/fulltext.pdf
,2009, 'Flight control of a rotary wing UAV using backstepping', International Journal of Robust and Nonlinear Control, 20, pp. 639 - 658, http://dx.doi.org/10.1002/rnc.1458
,2009, 'Visual Tracking and LIDAR Relative Positioning for Automated Launch and Recovery of an Unmanned Rotocraft from Ships at Sea', Naval Engineers Journal, 121, pp. 99 - 110, http://dx.doi.org/10.1111/j.1559-3584.2009.00194.x
,2008, 'INTEGRATION OF GPS/INS/VISION SENSORS TO NAVIGATE UNMANNED AERIAL VEHICLES', The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, pp. 963 - 970
,2008, 'Neural Network Based System Identification for Autonomous Flight of an Eagle Helicopter', IFAC Proceedings Volumes, 41, pp. 7421 - 7426, http://dx.doi.org/10.3182/20080706-5-kr-1001.01254
,2008, 'Ship Motion Prediction for Maritime Flight Operations', IFAC Proceedings Volumes, 41, pp. 12407 - 12412, http://dx.doi.org/10.3182/20080706-5-kr-1001.02100
,2008, 'Vision-Based Terrain Following for an Unmanned Rotorcraft', Journal of Field Robotics, 25, pp. 284 - 301
,2006, 'Approaches for a Tether Guided Landing of an Autonomous Helicopter', IEEE Transactions on Robotics, 22, pp. 536 - 544
,2004, 'An overview of insect-inspired guidance for application in ground and airborne platforms', Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 218, pp. 375 - 388, http://dx.doi.org/10.1243/0954410042794966
,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
,2024, 'Robust and Scalable Swarming of Quadruped Robots for Chemical, Biological, Radiological, and Nuclear Source Localisation', in 2024 10th International Conference on Mechatronics and Robotics Engineering, ICMRE 2024, pp. 56 - 62, http://dx.doi.org/10.1109/ICMRE60776.2024.10532170
,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
,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
,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
,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
,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
,2023, 'Correction to: An Open-Source Autopilot and Source Localisation for Bio-Inspired Miniature Blimps (AIAA SciTech Forum and Exposition, 2023)', in AIAA SciTech Forum and Exposition, 2023, http://dx.doi.org/10.2514/6.2023-1731.c1
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,2020, 'Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding', Glasgow, presented at IJCNN 2020, Glasgow
,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
,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
,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
,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
,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
,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
,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
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