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Safety-Aware UAV Formation Scheme for Guiding UGVs Through Obstacle-Laden Environments

  • Ruikang Xiao
  • , Shuting Wang
  • , Yuanlong Xie
  • , Youmin Zhang
  • , Sheng Quan Xie
  • Huazhong University of Science and Technology
  • Concordia University
  • University of Leeds

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Using uncrewed aerial vehicle (UAV) formations to guide uncrewed ground vehicles (UGVs) through unstructured obstacle-laden areas leads to highly efficient execution of tasks such as the transportation of supplies. However, existing methods fail to efficiently plan obstacle-avoidance strategies for the entire UAV-UGV swarm. Additionally, the formation controller and planner are isolated, resulting in the degradation of formation tracking accuracy, which presents potential security risks. This paper proposes a novel UAV formation scheme that integrates safe corridor (SC) generation, trajectory fitting, and formation tracking to ensure operational safety. The scheme employs a novel line-of-sight (LOS) mechanism to optimize A*-planned waypoints, generating the SC as an obstacle-avoidance strategy. A minimum snap trajectory is fitted to the optimized waypoints with SC constraints. Bridged by the trajectory, the scheme develops a rigid-graph-based controller (RGC) to track the planning result, enabling dynamic formation maneuvering within the SC. Consequently, the proposed UAV formation scheme achieves obstacle-avoidance guidance by restricting the UGVs to the formation projection. The validation results demonstrate that the proposed scheme exhibits enhanced robustness and superior planning capabilities compared to traditional methods.

Original languageEnglish
Pages (from-to)6999-7006
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume10
Issue number7
DOIs
StatePublished - 2025
Externally publishedYes

Keywords

  • Formation tracking
  • obstacle avoidance
  • safe corridor (SC)
  • uncrewed aerial vehicle (UAV)

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