Experimental Evaluation of a Program Visualisation Tool for Use in Computer Science Education. - Kathryn Kasmarik; Joe Thurbon (InVis.au, 2003)

Agent Models for Dynamic 3D Virtual Worlds. - Mary Lou Maher; Kathryn E. Merrick (CW, 2005)

Motivated Agents. - Kathryn Kasmarik; William T. B. Uther; Mary Lou Maher (IJCAI, 2005)

Motivated reinforcement learning for non-player characters in persistent computer game worlds. - Kathryn E. Merrick; Mary Lou Maher (Advances in Computer Entertainment Technology, 2006)

Intrinsically Motivated Intelligent Sensed Environments. - Mary Lou Maher; Kathryn E. Merrick; Owen Macindoe (EG-ICE, 2006)

Motivated reinforcement learning for adaptive characters in open-ended simulation games. - Kathryn Elizabeth Merrick; Mary Lou Maher (Advances in Computer Entertainment Technology, 2007)

Agents for multidisciplinary design in virtual worlds. - Mary Lou Maher; Michael Rosenman; Kathryn E. Merrick (Artif. Intell. Eng. Des. Anal. Manuf., 2007)

Modeling motivation for adaptive nonplayer characters in dynamic computer game worlds. - Kathryn E. Merrick (Comput. Entertain., 2007)

Modelling motivation for experience-based attention focus in reinforcement learning. - Kathryn E. Merrick (2007)

Achieving Creative Behavior Using Curious Learning Agents. - Mary Lou Maher; Kathryn E. Merrick; Rob Saunders (AAAI Spring Symposium: Creative Intelligent Systems, 2008)

Designing Toys That Come Alive: Curious Robots for Creative Play. - Kathryn E. Merrick (ICEC, 2008)

Modelling Behaviour Cycles for Life-Long Learning in Motivated Agents. - Kathryn E. Merrick (SEAL, 2008)

Motivated Reinforcement Learning - Curious Characters for Multiuser Games. - Kathryn Elizabeth Merrick; Mary Lou Maher (Springer, 2009)

Evaluating intrinsically motivated robots using affordances and point-cloud matrices. - Kathryn E. Merrick (EpiRob, 2009)

Motivated Learning from Interesting Events: Adaptive, Multitask Learning Agents for Complex Environments. - Kathryn E. Merrick; Mary Lou Maher (Adapt. Behav., 2009)

Modeling Behavior Cycles as a Value System for Developmental Robots. - Kathryn E. Merrick (Adapt. Behav., 2010)

A Comparative Study of Value Systems for Self-Motivated Exploration and Learning by Robots. - Kathryn E. Merrick (IEEE Trans. Auton. Ment. Dev., 2010)

An Empirical Evaluation of Puzzle-Based Learning as an Interest Approach for Teaching Introductory Computer Science. - Kathryn E. Merrick (IEEE Trans. Educ., 2010)

A Pedagogical Approach to Exploring Place and Interaction Design in Collaborative Virtual Environments. - Ning Gu; Kathryn E. Merrick (Collaborative Design in Virtual Environments, 2011)

Reasoning in the Absence of Goals. - Mary Lou Maher; Kathryn E. Merrick; Benjamin Graham (AAAI Fall Symposium: Advances in Cognitive Systems, 2011)

A computational model of achievement motivation for artificial agents. - Kathryn E. Merrick (AAMAS, 2011)

A curious agent for network anomaly detection. - Kamran Shafi; Kathryn E. Merrick (AAMAS, 2011)

Achievement, affiliation, and power: Motive profiles for artificial agents. - Kathryn E. Merrick; Kamran Shafi (Adapt. Behav., 2011)

Case studies using multiuser virtual worlds as an innovative platform for collaborative design. - Kathryn E. Merrick; Ning Gu; Xiangyu Wang 001 (J. Inf. Technol. Constr., 2011)

Task allocation in multi-agent systems using models of motivation and leadership. - Medria K. D. Hardhienata; Kathryn E. Merrick; Valery A. Ugrinovskii (IEEE Congress on Evolutionary Computation, 2012)

Evolution of Intrinsic Motives in Multi-agent Simulations. - Kamran Shafi; Kathryn E. Merrick; Essam Soliman Debie (SEAL, 2012)

Developing Attention Focus Metrics for Autonomous Hypothesis Generation in Data Mining. - Bing Wang 011; Kathryn E. Merrick; Hussein A. Abbass (SEAL, 2012)

Intrinsic Motivation and Introspection in Reinforcement Learning. - Kathryn E. Merrick (IEEE Trans. Auton. Ment. Dev., 2012)

Novelty and Beyond: Towards Combined Motivation Models and Integrated Learning Architectures. - Kathryn E. Merrick (Intrinsically Motivated Learning in Natural and Artificial Systems, 2013)

Reduct based ensemble of learning classifier system for real-valued classification problems. - Essam Soliman Debie; Kamran Shafi; Chris Lokan; Kathryn E. Merrick (CIEL, 2013)

A hierarchical pea-based anomaly detection model. - Biming Tian; Kathryn E. Merrick; Shui Yu 001; Jiankun Hu (ICNC, 2013)

Investigating Differential Evolution based rule discovery in learning classifier systems. - Essam Soliman Debie; Kamran Shafi; Chris Lokan; Kathryn E. Merrick (SDE, 2013)

A shape grammar approach to computational creativity and procedural content generation in massively multiplayer online role playing games. - Kathryn E. Merrick; Amitay Isaacs; Michael Barlow 001; Ning Gu (Entertain. Comput., 2013)

Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery. - Essam Soliman Debie; Kamran Shafi; Chris Lokan; Kathryn E. Merrick (Evol. Intell., 2013)

An online evolutionary rule learning algorithm with incremental attribute discretization. - Essam Soliman Debie; Kamran Shafi; Kathryn E. Merrick; Chris Lokan (IEEE Congress on Evolutionary Computation, 2014)

Task allocation under communication constraints using motivated particle swarm optimization. - Medria K. D. Hardhienata; Valery A. Ugrinovskii; Kathryn E. Merrick (IEEE Congress on Evolutionary Computation, 2014)

Effective motive profiles and swarm compositions for motivated particle swarm optimisation applied to task allocation. - Medria K. D. Hardhienata; Kathryn E. Merrick; Valery A. Ugrinovskii (CIHLI, 2014)

Self-motivated learning of achievement and maintenance tasks for non-player characters in computer games. - Hafsa Ismail; Kathryn E. Merrick; Michael Barlow 001 (CIHLI, 2014)

Evolution of intrinsic motives in a multi-player common pool resource game. - Kathryn E. Merrick (CIHLI, 2014)

Autonomous Hypothesis Generation as an Environment Learning Mechanism for Agent Design. - Bing Wang 011; Kathryn E. Merrick; Hussein A. Abbass (ACALCI, 2015)

Task Allocation Using Particle Swarm Optimisation and Anomaly Detection to Generate a Dynamic Fitness Function. - Adam Klyne; Kathryn E. Merrick (Australasian Conference on Artificial Intelligence, 2015)

The Role of Implicit Motives in Strategic Decision-Making: Computational Models of Motivated Learning and the Evolution of Motivated Agents. - Kathryn E. Merrick (Games, 2015)

Application of chaos measures to a simplified boids flocking model. - John Harvey; Kathryn E. Merrick; Hussein A. Abbass (Swarm Intell., 2015)

Computational Models of Motivation for Game-Playing Agents - Kathryn E. Merrick (Springer, 2016)

Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks. - Min Wang 009; Hussein A. Abbass; Jiankun Hu; Kathryn E. Merrick (BICS, 2016)

Eye movements as information markers in EEG data. - Sherif M. Abdelfattah; Kathryn E. Merrick; Hussein A. Abbass (SSCI, 2016)

Designing artificial agents to detect the motive profile of users in virtual worlds and games. - Xuejie Liu; Kathryn E. Merrick; Hussein A. Abbass (SSCI, 2016)

Using game theory with intrinsic motivation to examine anti-hacking policies for autonomous systems. - Kathryn E. Merrick; Medria K. D. Hardhienata; Kamran Shafi; Jiankun Hu (SSCI, 2016)

Quantifying Swarming Behaviour. - John Harvey; Kathryn E. Merrick; Hussein A. Abbass (ICSI (1), 2016)

A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data. - Hussein A. Abbass; George Leu; Kathryn E. Merrick (IEEE Access, 2016)

Intrinsically motivated particle swarm optimisation applied to task allocation for workplace hazard detection. - Adam Klyne; Kathryn E. Merrick (Adapt. Behav., 2016)

Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges. - Hussein A. Abbass; Eleni Petraki; Kathryn E. Merrick; John Harvey; Michael Barlow 001 (Cogn. Comput., 2016)

A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios. - Kathryn E. Merrick; Medria K. D. Hardhienata; Kamran Shafi; Jiankun Hu (Future Internet, 2016)

Experience-Based Generation of Maintenance andAchievement Goals on a Mobile Robot. - Kathryn E. Merrick; Nazmul H. Siddique; Iñaki Rañó (Paladyn J. Behav. Robotics, 2016)

A 'Breadcrumbs' Model for Controlling an Intrinsically Motivated Swarm Using a Handheld Device. - Sarah Jean Bowley; Kathryn E. Merrick (Australasian Conference on Artificial Intelligence, 2017)

Multi-Task Deep Reinforcement Learning for Continuous Action Control. - Zhaoyang Yang; Kathryn E. Merrick; Hussein A. Abbass; Lianwen Jin (IJCAI, 2017)

On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems. - Essam Soliman Debie; Kamran Shafi; Kathryn E. Merrick; Chris Lokan (Comput. Intell., 2017)

Value systems for developmental cognitive robotics: A survey. - Kathryn E. Merrick (Cogn. Syst. Res., 2017)

A Review of the Relationship between Novelty, Intrinsic Motivation and Reinforcement Learning. - Nazmul H. Siddique; Paresh Dhakan; Iñaki Rañó; Kathryn E. Merrick (Paladyn J. Behav. Robotics, 2017)

Co-Operative Coevolutionary Neural Networks for Mining Functional Association Rules. - Bing Wang 011; Kathryn E. Merrick; Hussein A. Abbass (IEEE Trans. Neural Networks Learn. Syst., 2017)

An Efficient Differential Evolution Algorithm for Solving 0-1 Knapsack Problems. - Ismail M. Ali; Daryl Essam; Kathryn Kasmarik (CEC, 2018)

Automatic synthesis of swarm behavioural rules from their atomic components. - Dilini Samarasinghe; Erandi Lakshika; Michael Barlow 001; Kathryn Kasmarik (GECCO, 2018)

Modular Continuous Learning Framework. - Paresh Dhakan; Kathryn Elizabeth Merrick; Iñaki Rañó; Mia Nazmul Haque Siddique (ICDL-EPIROB, 2018)

Intrinsically Motivated Agent Behavior in a Swarm. - Md Mohiuddin Khan; Kathryn Kasmarik; Michael Barlow 001 (ICDL-EPIROB, 2018)

Swarm Q-Leaming With Knowledge Sharing Within Environments for Formation Control. - Tung Nguyen 003; Hung The Nguyen 001; Essam Soliman Debie; Kathryn Kasmarik; Matthew Garratt; Hussein A. Abbass (IJCNN, 2018)

Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential. - Heba El-Fiqi; Min Wang 009; Nima Salimi; Kathryn Kasmarik; Michael Barlow 001; Hussein A. Abbass (SMC, 2018)

Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction. - Hung The Nguyen 001; Vu Phi Tran; Tung Nguyen 003; Matthew Garratt; Kathryn Kasmarik; Michael Barlow 001; Sreenatha G. Anavatti; Hussein A. Abbass (CoRR, 2018)

Evolving Robust Policy Coverage Sets in Multi-Objective Markov Decision Processes Through Intrinsically Motivated Self-Play. - Sherif M. Abdelfattah; Kathryn Kasmarik; Jiankun Hu (Frontiers Neurorobotics, 2018)

Intrinsic Rewards for Maintenance, Approach, Avoidance, and Achievement Goal Types. - Paresh Dhakan; Kathryn E. Merrick; Iñaki Rañó; Nazmul H. Siddique (Frontiers Neurorobotics, 2018)

Assessing Human Judgment of Computationally Generated Swarming Behavior. - John Harvey; Kathryn Elizabeth Merrick; Hussein A. Abbass (Frontiers Robotics AI, 2018)

Toward Computational Motivation for Multi-Agent Systems and Swarms. - Md Mohiuddin Khan; Kathryn Kasmarik; Michael Barlow 001 (Frontiers Robotics AI, 2018)

Toward Electroencephalographic Profiling of Player Motivation: A Survey. - Xuejie Liu; Kathryn E. Merrick; Hussein A. Abbass (IEEE Trans. Cogn. Dev. Syst., 2018)

Hierarchical Deep Reinforcement Learning for Continuous Action Control. - Zhaoyang Yang; Kathryn E. Merrick; Lianwen Jin; Hussein A. Abbass (IEEE Trans. Neural Networks Learn. Syst., 2018)

Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach. - Dulakshi Vihanga; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (CoG, 2019)

A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. - Hung The Nguyen 001; Tung D. Nguyen; Matthew Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Michael Barlow 001; Hussein A. Abbass (ICONIP (1), 2019)

Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming. - Raul Fernandez Rojas; Essam Soliman Debie; Justin Fidock; Michael Barlow 001; Kathryn Kasmarik; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (ICONIP (4), 2019)

New Designs of k-means Clustering and Crossover Operator for Solving Traveling Salesman Problems using Evolutionary Algorithms. - Ismail M. Ali; Daryl Essam; Kathryn Kasmarik (IJCCI, 2019)

Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery. - Heba El-Fiqi; Kathryn Kasmarik; Anastasios Bezerianos; Kay Chen Tan; Hussein A. Abbass (IJCNN, 2019)

A novel differential evolution mapping technique for generic combinatorial optimization problems. - Ismail M. Ali; Daryl Essam; Kathryn Kasmarik (Appl. Soft Comput., 2019)

Autonomous Recognition of Collective Behaviour in Robot Swarms. - Kathryn Kasmarik; Shadi Abpeikar; Md Mohiuddin Khan; Noha Khattab; Michael Barlow 001; Matt Garratt (Australasian Conference on Artificial Intelligence, 2020)

Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic. - Dulakshi Wannigamage; Michael Barlow 001; Erandi Lakshika; Kathryn E. Kasmarik (Australasian Conference on Artificial Intelligence, 2020)

Differential Evolution Algorithm for Multiple Inter-dependent Components Traveling Thief Problem. - Ismail M. Ali; Daryl Essam; Kathryn Kasmarik (CEC, 2020)

A Better Set of Object-Oriented Design Metrics for Within-Project Defect Prediction. - Viet Van Pham; Chris Lokan; Kathryn Kasmarik (EASE, 2020)

Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. - Tung Nguyen 003; Jing Liu 029; Hung The Nguyen 001; Kathryn Kasmarik; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (IJCNN, 2020)

A robust policy bootstrapping algorithm for multi-objective reinforcement learning in non-stationary environments. - Sherif M. Abdelfattah; Kathryn Kasmarik; Jiankun Hu (Adapt. Behav., 2020)

Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees. - Tung D. Nguyen; Kathryn E. Kasmarik; Hussein A. Abbass (CoRR, 2020)

Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding. - Hung The Nguyen 001; Tung Nguyen 003; Vu Phi Tran; Matthew Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Michael Barlow 001; Hussein A. Abbass (CoRR, 2020)

Q-Learning with Differential Entropy of Q-Tables. - Tung D. Nguyen; Kathryn E. Kasmarik; Hussein A. Abbass (CoRR, 2020)

A novel design of differential evolution for solving discrete traveling salesman problems. - Ismail M. Ali; Daryl Essam; Kathryn Kasmarik (Swarm Evol. Comput., 2020)

Autonomous detection of collective behaviours in swarms. - Md Mohiuddin Khan; Kathryn Kasmarik; Michael Barlow 001 (Swarm Evol. Comput., 2020)

Task Allocation in Multi-Agent Systems with Grammar-Based Evolution. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (IVA, 2021)

Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model. - Shuo Yang; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (SSCI, 2021)

Robust Multi-Robot Coverage of Unknown Environments using a Distributed Robot Swarm. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (CoRR, 2021)

Exploiting abstractions for grammar-based learning of complex multi-agent behaviours. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (Int. J. Intell. Syst., 2021)

A novel trust architecture integrating differentiated trust and response strategies for a team of agents. - Shuo Yang; Michael Barlow 001; Kathryn Kasmarik; Erandi Lakshika (Int. J. Intell. Syst., 2021)

Novel binary differential evolution algorithm for knapsack problems. - Ismail M. Ali; Daryl Essam; Kathryn Kasmarik (Inf. Sci., 2021)

On the channel density of EEG signals for reliable biometric recognition. - Min Wang 009; Kathryn Kasmarik; Anastasios Bezerianos; Kay Chen Tan; Hussein A. Abbass (Pattern Recognit. Lett., 2021)

Intrinsically Motivated Hierarchical Policy Learning in Multiobjective Markov Decision Processes. - Sherif M. Abdelfattah; Kathryn E. Merrick; Jiankun Hu (IEEE Trans. Cogn. Dev. Syst., 2021)

Open-Ended Continuous Learning of Compound Goals. - Paresh Dhakan; Kathryn Kasmarik; Iñaki Rañó; Nazmul H. Siddique (IEEE Trans. Cogn. Dev. Syst., 2021)

Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review. - Essam Soliman Debie; Raul Fernandez Rojas; Justin Fidock; Michael Barlow 001; Kathryn Kasmarik; Sreenatha G. Anavatti; Matt Garratt; Hussein A. Abbass (IEEE Trans. Cybern., 2021)

Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals. - Shadi Abpeikar; Kathryn Kasmarik; Matt Garratt (AI, 2022)

Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs. - Shadi Abpeikar; Kathryn Kasmarik; Phi Vu Tran; Matt Garratt (AI, 2022)

Decentralizing Self-organizing Maps. - Md Mohiuddin Khan; Kathryn Kasmarik; Matt Garratt (AI, 2022)

Visualisation of Swarm Metrics on a Handheld Device for Human-Swarm Interaction. - Laine G. Jeston-Fenton; Shadi Abpeikar; Kathryn Kasmarik (IV, 2022)

Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance. - Duy Tung Nguyen; Kathryn Kasmarik; Hussein A. Abbass (CoRR, 2022)

Automatic collective motion tuning using actor-critic deep reinforcement learning. - Shadi Abpeikar; Kathryn Kasmarik; Matthew Garratt; Robert A. Hunjet; Md Mohiuddin Khan; Huanneng Qiu (Swarm Evol. Comput., 2022)

Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (Swarm Evol. Comput., 2022)

Grammar-based autonomous discovery of abstractions for evolution of complex multi-agent behaviours. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (Swarm Evol. Comput., 2022)

Frontier-led swarming: Robust multi-robot coverage of unknown environments. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Shadi Abpeikar (Swarm Evol. Comput., 2022)

Weighted Gate Layer Autoencoders. - Heba El-Fiqi; Min Wang 009; Kathryn Kasmarik; Anastasios Bezerianos; Kay Chen Tan; Hussein A. Abbass (IEEE Trans. Cybern., 2022)

Assessing Player Profiles of Achievement, Affiliation, and Power Motivation Using Electroencephalography. - Xuejie Liu; Kathryn Kasmarik; Hussein A. Abbass (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Generating Collective Motion Behaviour Libraries Using Developmental Evolution. - Md Mohiuddin Khan; Kathryn Kasmarik; Michael Barlow 001; Shadi Abpeikar; Huanneng Qiu; Essam Soliman Debie; Matt Garratt (AI (2), 2023)

Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation. - Mahtab Mohtasham Khani; Kathryn Kasmarik; Shadi Abpeikar; Michael Barlow 001 (IJCCI, 2023)

Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network. - Noha Khattab; Shadi Abpeikar; Kathryn Kasmarik; Matthew Garratt (IJCNN, 2023)

Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes. - Sherif M. Abdelfattah; Kathryn E. Merrick; Jiankun Hu (CoRR, 2023)

Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles. - Asanka G. Perera; Vu Phi Tran; Sreenatha G. Anavatti; Kathryn Kasmarik; Matthew Garratt (CoRR, 2023)

Multi-gas source localization and mapping by flocking robots. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Alex S. Leong; Mohammad Zamani (Inf. Fusion, 2023)

Guest Editorial Special Issue on Intrinsically Motivated Open-Ended Learning (IMOL). - Kathryn Kasmarik; Gianluca Baldassarre; Vieri Giuliano Santucci; Jochen Triesch (IEEE Trans. Cogn. Dev. Syst., 2023)

Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (IEEE CAA J. Autom. Sinica, 2023)

Iterative transfer learning for automatic collective motion tuning on multiple robot platforms. - Shadi Abpeikar; Kathryn Kasmarik; Matt Garratt (Frontiers Neurorobotics, 2023)

Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles. - Vu Phi Tran; Asanka G. Perera; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (IEEE Trans. Intell. Transp. Syst., 2023)

Concurrent Skill Composition Using Ensemble of Primitive Skills. - Paresh Dhakan; Kathryn Kasmarik; Philip J. Vance; Iñaki Rañó; Nazmul H. Siddique (IEEE Trans. Cogn. Dev. Syst., 2023)

Robust and Scalable Swarming of Quadruped Robots for Chemical, Biological, Radiological, and Nuclear Source Localisation. - Rafiqul Islam; Sreenatha G. Anavatti; Kathryn Kasmarik; Matt Garratt (ICMRE, 2024)

Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings with Fixed One-Way Switching. - Vu Phi Tran; Asanka G. Perera; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (CoRR, 2024)

A Taxonomy-Based Survey of EM-SCA and Implications for Multi-Robot Systems. - Yomna Mokhtar Ibrahim; Shabnam Kasra Kermanshahi; Kathryn Kasmarik; Jiankun Hu (IEEE Open J. Comput. Soc., 2024)

Swarm Robotics: A Survey from a Multi-Tasking Perspective. - Essam Soliman Debie; Kathryn Kasmarik; Matt Garratt (ACM Comput. Surv., 2024)

Impact of Environmental Changes on Optimized Robotics Collective Motion for Multi-objective Coverage Tasks. - Reda Ghanem; Ismail M. Ali; Kathryn Kasmarik; Matthew Garratt (EMO (1), 2025)

Optimizing and predicting swarming collective motion performance for coverage problems solving: A simulation-optimization approach. - Reda Ghanem; Ismail M. Ali; Shadi Abpeikar; Kathryn Kasmarik; Matthew Garratt (Eng. Appl. Artif. Intell., 2025)

Competence Awareness for Humans and Machines: A Survey and Future Research Directions from Psychology. - Kathryn Kasmarik; Mahtab Mohtasham Khani; Shadi Abpeikar; Michael Barlow 001; Olivia L. Carter; Muireann Irish (ACM Comput. Surv., 2025)

A Study on Human-Swarm Interaction: A Framework for Assessing Situation Awareness and Task Performance. - Wasura D. Wattearachchi; Erandi Lakshika; Kathryn Kasmarik; Michael Barlow 001 (CoRR, 2025)

A Dual-Task Deep Reinforcement Learning and Domain Transfer Architecture for Bootstrapping Swarming Collective Motion Skills. - Shadi Abpeikar; Matt Garratt; Sreenatha G. Anavatti; Reda Ghanem; Kathryn Kasmarik (IEEE Syst. J., 2025)

Designing Effective Human-Swarm Interaction Interfaces: Insights from a User Study on Task Performance. - Wasura D. Wattearachchi; Erandi Lakshika; Kathryn Kasmarik; Michael Barlow 001 (CoRR, 2025)