Human-inspired strategies for controlling swarm systems.

IF 4.3 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences Pub Date : 2025-01-30 DOI:10.1098/rsta.2024.0147
Patrick Nalepka, Gaurav Patil, Rachel W Kallen, Michael J Richardson
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Abstract

The control of swarms has emerged as a paradigmatic example of human-autonomy teaming. This review focuses on understanding human coordination behaviours, while controlling evasive autonomous agents, to inform the design of human-compatible teammates. We summarize the solutions employed by human dyads, as well as the verbal communication and division of labour strategies observed in four-person teams using virtual simulations. Additionally, we provide an overview of the design of artificial agents that replicate human-like dynamics using task-dynamical models, and which can be integrated into human-autonomy teams. Finally, we conclude with open questions regarding the preservation of situation awareness and trust within human-autonomous swarming teams.This article is part of the theme issue 'The road forward with swarm systems'.

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来源期刊
CiteScore
9.30
自引率
2.00%
发文量
367
审稿时长
3 months
期刊介绍: Continuing its long history of influential scientific publishing, Philosophical Transactions A publishes high-quality theme issues on topics of current importance and general interest within the physical, mathematical and engineering sciences, guest-edited by leading authorities and comprising new research, reviews and opinions from prominent researchers.
期刊最新文献
Examining the human-centred challenges of human-swarm interaction. Human-inspired strategies for controlling swarm systems. Machine teaching in Swarm Metaverse under different levels of autonomy. On the ethical governance of swarm robotic systems in the real world. Performance prediction of hub-based swarms.
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