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Contextually Aware Intelligent Control Agents for Heterogeneous Swarms
An emerging challenge in swarm shepherding research is to design effective and efficient artificial intelligence algorithms that maintain a low-computational ceiling while increasing the swarm's abilities to operate in diverse contexts.
Developing Decentralised Resilience to Malicious Influence in Collective Perception Problem
A curriculum inspired by Machine Education approaches was designed to facilitate this learning process and teach the members the skills required for optimal performance in the collective perception problem.
Swarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts
Contemporary swarm indicators are often used in isolation, focused on extracting information at the individual or collective levels.
Mixed Initiative Systems for Human-Swarm Interaction: Opportunities and Challenges
Human-swarm interaction (HSI) involves a number of human factors impacting human behaviour throughout the interaction.
Human-Computer Interaction
