activity
20222026
most citedSwarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts

11 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Meaningful Human Command: Towards a New Model for Military Human-Robot Interaction

Adam Hepworth, Zena Assaad, Austin Wyatt +1

Military human robot interaction (MHRI) presents a novel opportunity to blend the capabilities of autonomous and Artificial Intelligence (AI)-enabled systems with the skills and ex…

cs.HC2024

Human-centred test and evaluation of military AI

David Helmer, Michael Boardman, S. Kate Conroy +2

The REAIM 2024 Blueprint for Action states that AI applications in the military domain should be ethical and human-centric and that humans must remain responsible and accountable f…

cs.AI2022★ 1 cited

Contextually Aware Intelligent Control Agents for Heterogeneous Swarms

Adam Hepworth, Aya Hussein, Darryn Reid +1

An emerging challenge in swarm shepherding research is to design effective and efficient artificial intelligence algorithms that maintain a low-computational ceiling while increasi…

cs.AI2022★ 11 cited

Swarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts

Adam Hepworth, Aya Hussein, Darryn Reid +1

Contemporary swarm indicators are often used in isolation, focused on extracting information at the individual or collective levels. Consequently, these are seldom integrated to in…

cs.AI2022★ 8 cited

Onto4MAT: A Swarm Shepherding Ontology for Generalised Multi-Agent Teaming

Adam J. Hepworth, Daniel P. Baxter, Hussein A. Abbass

Research in multi-agent teaming has increased substantially over recent years, with knowledge-based systems to support teaming processes typically focused on delivering functional…