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This paper takes the aerial carriers to launch UAV swarms as the background, aims to minimize the total flight distance of the UAV swarms, and proposes a clustering-launching-planning solution framework. Aiming at the scenario where UAVs adopt Dubins curve trajectories, a Dubins-KMeans clustering algorithm based on the Dubins curve length as the similarity measure is proposed. To ensure the shortest distance for air carriers to traverse each cluster, a two-part genetic algorithm is used to solve this MTSP problem and find the optimal order for air carriers to traverse each cluster. Ultimately, the energy efficiency of the entire unmanned system is optimized.

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Collaborative Mission Planning for UAV Swarms Launched from Aerial Carriers

  • 会议论文

  • 发表日期：

    2025年

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  • Mingzhou Yuan,
  • Bo Dong,
  • Weiran Yao

摘要

This paper takes the aerial carriers to launch UAV swarms as the background, aims to minimize the total flight distance of the UAV swarms, and proposes a clustering-launching-planning solution framework. Aiming at the scenario where UAVs adopt Dubins curve trajectories, a Dubins-KMeans clustering algorithm based on the Dubins curve length as the similarity measure is proposed. To ensure the shortest distance for air carriers to traverse each cluster, a two-part genetic algorithm is used to solve this MTSP problem and find the optimal order for air carriers to traverse each cluster. Ultimately, the energy efficiency of the entire unmanned system is optimized.