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Overview of research on intelligent swarm munitions

  • Guannan Chang
  • , Wenxing Fu
  • , Junmin Zhao
  • , Jinping Li
  • , Haochun Miao
  • , Xiaofeng Zhang
  • , Peng Dong
  • Northwestern Polytechnical University Xian
  • Xi'an Modern Control Technology Research Institute
  • Shanghai Jiao Tong University

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This article started with an overview of the current technological status and engineering developments in the field of swarm munitions. It first introduced swarm behaviors and related swarm algorithms, and then provided a comprehensive summary of the research progress in the field of swarm munitions from four aspects: Collaborative perception and detection, collaborative positioning and navigation, task allocation for swarms, and path planning for swarms. In summary, future developments in collaborative perception, planning, positioning, navigation, and decision-making for swarm munitions will trend towards intelligence, adaptability, and collaboration. It can enable swarm munitions to be better adapted to complex and dynamic battlefields, improving operational effectiveness and mission capabilities.

Original languageEnglish
Pages (from-to)225-244
Number of pages20
JournalDefence Technology
Volume54
DOIs
StatePublished - Dec 2025

Keywords

  • Collaborative control
  • Intelligent algorithms
  • Swarm munitions

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