Human-inspired strategies for controlling swarm systems

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.