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Human-inspired strategies for controlling swarm systems

  • 0Performance and Expertise Research Centre, Macquarie University, Sydney NSW 2109, Australia.
Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences +

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January 29, 2025

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January 29, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This review examines human coordination strategies for controlling autonomous agents in swarm systems. Understanding these human behaviors informs the design of compatible artificial teammates for effective human-autonomy teaming.

Area Of Science

  • Robotics
  • Human-Computer Interaction
  • Collective Behavior

Background

  • Human-autonomy teaming is crucial for controlling swarms.
  • Understanding human coordination is key to designing effective autonomous teammates.

Purpose Of The Study

  • To review human coordination behaviors in controlling evasive autonomous agents.
  • To inform the design of human-compatible teammates for swarm systems.
  • To explore artificial agents that mimic human dynamics for integration into teams.

Main Methods

  • Summarized solutions from human dyads controlling agents.
  • Analyzed communication and labor division in four-person teams via simulations.
  • Reviewed designs of artificial agents using task-dynamical models.

Main Results

  • Identified coordination strategies in human dyads.
  • Observed communication and division of labor in larger human teams.
  • Overviewed artificial agents replicating human-like dynamics.

Conclusions

  • Human coordination behaviors are vital for swarm control.
  • Task-dynamical models can create human-like artificial agents.
  • Further research is needed on situation awareness and trust in human-autonomous swarms.

Keywords: