Scholarlink

Drone fleets are highly valued for their low cost, compact size, and excellent maneuverability. They are extensively used in logistics, inspections, and various other fields. However, cooperative task allocation poses a significant challenge, especially for large-scale tasks with time constraints, temporal dependencies, and performance requirements. To prevent wastage of resources and conflicts in tasks, time, and space within drone fleets, it is crucial to ensure scientific and efficient task allocation.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Summary

  • 章节

  • 发表日期：

    2025年

查看全文
  • He Luo,
  • Xiaoxuan Hu,
  • Guoqiang Wang,
  • Yingying Ma

摘要

Drone fleets are highly valued for their low cost, compact size, and excellent maneuverability. They are extensively used in logistics, inspections, and various other fields. However, cooperative task allocation poses a significant challenge, especially for large-scale tasks with time constraints, temporal dependencies, and performance requirements. To prevent wastage of resources and conflicts in tasks, time, and space within drone fleets, it is crucial to ensure scientific and efficient task allocation.