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The widespread adoption of UAVs across military operations, emergency rescue, logistics transportation, and other domains has established them as indispensable critical assets in diverse industries. As a core technology enabling autonomous UAV flight, path planning directly impacts mission execution efficiency, precision, and adaptability. This paper systematically integrates research findings from three technical paradigms—geometric methods, optimization methods, and learning methods—while organizing the current research landscape and development trends. It aims to provide a comprehensive reference for research and applications in the field of UAV path planning, facilitating the breakthrough of traditional methods’ limitations in complex scenarios.

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UAV Path Planning Techniques: Research Progress and Future Perspectives Based on Geometry, Optimization and Learning Methods

  • 会议论文

  • 发表日期：

    2026年

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  • Cong Liu,
  • Pengfei Zhang,
  • Dian Rong,
  • Muyang Niu

摘要

The widespread adoption of UAVs across military operations, emergency rescue, logistics transportation, and other domains has established them as indispensable critical assets in diverse industries. As a core technology enabling autonomous UAV flight, path planning directly impacts mission execution efficiency, precision, and adaptability. This paper systematically integrates research findings from three technical paradigms—geometric methods, optimization methods, and learning methods—while organizing the current research landscape and development trends. It aims to provide a comprehensive reference for research and applications in the field of UAV path planning, facilitating the breakthrough of traditional methods’ limitations in complex scenarios.