ORCID as entered in ROS
https://orcid.org/0000-0001-7187-0474
Select Publications
Conference Papers
, 2025, 'Impact of Environmental Changes on Optimized Robotics Collective Motion for Multi-Objective Coverage Tasks', Canberra, Australia, presented at
, 2024, 'Comparative Analysis of Simulation Models for Evolving Robot Collective Motion in Industrial Coverage and Inspection Tasks', Sydney, Australia, presented at
, 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
, 2023, 'Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles', in Australasian Conference on Robotics and Automation, ACRA, Sydney Australia, presented at
, 2023, 'Automatic Multi-Class Collective Motion Recognition Using a Decision Forest Extracted from Neural Networks', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, Institute of Electrical and Electronics Engineers (IEEE), Canberra, pp. 1 - 6, presented at
, 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
, 2023, 'Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation', in International Joint Conference on Computational Intelligence, pp. 505 - 513, http://dx.doi.org/10.5220/0012181400003595
, 2023, 'Generating Collective Motion Behaviour Libraries using Developmental Evolution', in Liu T; Yue L; Webb G; Wang D (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Brisbane, pp. 441 - 452, presented at
, 2022, 'Visualisation of Swarm Metrics on a Handheld Device for Human-Swarm Interaction', in Banissi E; Ursyn A; Bannatyne MWM; Pires JM; Datia N; Nazemi K; Kovalerchuk B; Andonie R; Nakayama M; Sciarrone F; Huang W; Nguyen QV; Mabakane MS; Rusu A; Temperini M; Cvek U; Trutschl M; Mueller H; Siirtola H; Woo WL; Francese R; Rossano V; DiMascio T; Bouali F; Venturini G; Kernbach S; Malandrino D; Zaccagnin R; Zhang JJ; Yang X; Geroimenko V (eds.), Proceedings of the International Conference on Information Visualisation, IEEE, Vienna, Austria, pp. 149 - 154, presented at
, 2022, 'Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals', in Aziz H; Correa D; French T (eds.), 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
, 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
, 2021, 'Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model', in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Orlando, FL, USA, pp. 1 - 9, presented at
, 2021, 'Task Allocation in Multi-Agent Systems with Grammar-Based Evolution', in Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents, IVA 2021, Association for Computing Machinery (ACM), Japan, pp. 175 - 182, presented at
, 2021, 'Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model', Orlando, Florida, USA, presented at
, 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
, 2020, 'Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 458 - 469, http://dx.doi.org/10.1007/978-3-030-64984-5_36
, 2020, 'A better set of object–oriented design metrics for within-project defect prediction', Online, presented at
, 2020, 'Differential Evolution Algorithm for Multiple Inter-dependent Components Traveling Thief Problem', Glasgow, presented at
, 2020, 'Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding', Glasgow, presented at
, 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
, 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
, 2019, 'New designs of k-means clustering and crossover operator for solving traveling salesman problems using evolutionary algorithms', in IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, Vienna, Austria, pp. 123 - 130, presented at
, 2019, 'Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery', in Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., Budapest, Hungary, Hungary, pp. 1 - 8, presented at
, 2019, 'Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach', in IEEE Conference on Games, London, UK, presented at
, 2018, 'Evaluating the Impact of the YoWIE Summer School on Girls’
Perception of Engineering', in Proceedings of the 29th Australasian Association for Engineering Education Conference, 2018, Hamilton, New Zealand, presented at
, 2018, 'Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Institute of Electrical and Electronics Engineers (IEEE), Miyazaki, Japan, pp. 1062 - 1069, presented at
, 2018, 'Intrinsically Motivated Agent Behavior in a Swarm', Tokyo, Japan, presented at
, 2018, 'Modular Continuous Learning Framework', Tokyo, Japan, presented at
, 2018, 'An Efficient Differential Evolution Algorithm for solving 0-1 Knapsack Problems', Brazil, presented at
, 2018, 'Apprenticeship Bootstrapping via Deep Learning with a Safety Net for UAV-UGV Interaction', in AAAI Fall Symposia Papers, AAAI, Stanford USA, presented at
, 2018, 'Automatic Synthesis of Swarm Behavioural Rules from their Atomic Components', in Aguirre H (ed.), GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), Kyoto Japan, pp. 133 - 140, presented at
, 2018, 'Swarm Q-Learning With Knowledge Sharing Within Environments for Formation Control', Brazil, presented at
, 2017, 'An N-player Trust game: comparison of replicator and logit dynamics', Hobart, Tasmania, presented at
, 2017, 'Curriculum optimisation via evolutionary computation, for a neural learner robust to categorical adversarial samples', in Defence Technology - Japan (ACDT), 2017 Fourth Asian Conference on, IEEE Xplore, Tokyo, pp. 1 - 6, presented at
, 2017, 'Multi-task deep reinforcement learning for continuous action control', in Sierra C (ed.), IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, AUSTRALIA, Melbourne, pp. 3301 - 3307, presented at
, 2017, 'A ‘Breadcrumbs’ Model for Controlling an Intrinsically Motivated Swarm using a Handheld Device', in Lecture Notes in Computer Science, Springer, Melbourne, Australia, pp. 157 - 168, presented at
, 2017, 'Handling Multi-Task Learning with Deep Reinforcement Learning', Melbourne Australia, presented at
, 2017, 'Machine Education - the way forward for achieving trust-enabled machine agents', USA, presented at
, 2016, 'Designing Artificial Agents to Detect the Motive Profile of Users in Virtual Worlds and Games', in Computational Intelligence (SSCI), 2016 IEEE Symposium Series on, Institute of Electrical and Electronics Engineers (IEEE), Athens, Greece, pp. 1 - 8, presented at
, 2016, 'Eye Movements as Information Markers in EEG Data', in IEEE Symposium Series on Computational Intelligence Proceedings, Institute of Electrical and Electronics Engineers (IEEE), Athens, Greece, pp. 1 - 7, presented at
, 2016, 'Using Game Theory with Intrinsic Motivation to Examine Anti-Hacking Policies for Autonomous Systems', in Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, presented at
, 2016, 'Theta-Beta Ratios Are Prominent EEG Features for Visual Tracking Tasks', in Proceedings of the Human Factors and Ergonomics Society 2016 Annual Meeting, SAGE Publications, Washington DC, pp. 21 - 25, presented at
, 2016, 'Quantifying Swarming Behaviour', in Tan Y; Shi Y; Niu B (eds.), ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT I, SPRINGER INT PUBLISHING AG, INDONESIA, Bali, pp. 119 - 130, presented at
, 2016, 'Detecting Rare Visual and Auditory Events
from EEG Using Pairwise-Comparison Neural
Networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, China, pp. 90 - 101, presented at
, 2016, 'Quantifying Swarming Behaviour', in Advances in Swarm Intelligence, Indonesia, pp. 119 - 130, presented at
, 2015, 'Task Allocation Using Particle Swarm Optimisation and Anomaly Detection to Generate a Dynamic Fitness Function,', in AI 2015: Advances in Artificial Intelligence, Canberra, Australia, pp. 317 - 329, presented at
, 2015, 'Reasoning and Making Sense of Data in the Absence of Goals', in Proceedings of the Third Annual Conference on Advances in Cognitive Systems, B, presented at
, 2015, 'Human-Machine Cooperation in General Game Playing', in Eighth International Conference on Advances in Computer-Human Interactions, Lisbon, Portugal, presented at
, 2015, 'Autonomous hypothesis generation as an environment learning mechanism for agent design', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ., pp. 210 - 225, presented at
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https://orcid.org/0000-0001-7187-0474