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The road forward with swarm systems.

Hussein Abbass1, Sanaz Mostaghim2

  • 1School of Systems and Computing, UNSW Canberra, Northcott Drive, Campbell, ACT 2600, Australia.

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|January 29, 2025
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Summary
This summary is machine-generated.

Artificial intelligence (AI) and robotics are driving swarm systems, replacing large autonomous systems with smaller, smarter ones. Key challenges include engineering, communication, and ethical considerations for these advanced collective systems.

Keywords:
artificial intelligencehuman–swarm teamingswarm intelligenceswarm roboticsswarm systems

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Area of Science:

  • Robotics and Artificial Intelligence
  • Complex Systems
  • Collective Intelligence

Background:

  • The field of swarm systems is rapidly advancing due to progress in artificial intelligence (AI) and robotics.
  • There is a shift from large, monolithic autonomous systems to numerous smaller, distributed, and decentralized systems.
  • These swarm systems exhibit collective intelligence, offering enhanced capabilities.

Purpose of the Study:

  • To introduce and contextualize the topic of swarm systems within the current scientific literature.
  • To highlight current research directions and the evolution of swarm systems.
  • To identify and discuss the multifaceted challenges in developing swarm intelligence systems.

Main Methods:

  • Review and synthesis of 11 selected papers within a special theme on swarm systems.
  • Contextualization of research within contemporary literature.
  • Identification of technological, interaction, and sociotechnical challenges.

Main Results:

  • Advances in AI and robotics are enabling the development of sophisticated swarm systems.
  • Swarm systems face significant challenges in machine engineering, human-system interaction, and ethical/legal frameworks.
  • The evolution of swarm systems presents unique philosophical and mathematical questions.

Conclusions:

  • Swarm systems represent a significant paradigm shift in autonomous systems, moving towards distributed and intelligent collectives.
  • Addressing technological, interaction, and sociotechnical challenges is crucial for the future development of swarm systems.
  • Further scientific inquiry into the philosophical and mathematical aspects of swarm systems is warranted.