Mission Oriented Miniature Fixed-wing UAV Swarms: A Multi-layered and Distributed Architecture
Zhihong Liu, Xiangke Wang, Lincheng Shen, Shulong Zhao, Yirui Cong,, Jie Li, Dong Yin, Shengde Jia, Xiaojia Xiang

TL;DR
This paper introduces a multi-layered, fully distributed architecture for miniature fixed-wing UAV swarms, enhancing scalability and versatility, and demonstrates its effectiveness through field experiments with 21 UAVs performing complex missions.
Contribution
It presents the first integrated architecture enabling formation flight, target recognition, and tracking in fixed-wing UAV swarms, supporting large-scale and diversified missions.
Findings
Successful demonstration of formation flight with 21 UAVs
Effective target recognition and tracking in field experiments
Architecture supports scalable and versatile UAV swarm operations
Abstract
UAV swarms have triggered wide concern due to their potential application values in recent years. While there are studies proposed in terms of the architecture design for UAV swarms, two main challenges still exist: (1) Scalability, supporting a large scale of vehicles; (2) Versatility, integrating diversified missions. To this end, a multi-layered and distributed architecture for mission oriented miniature fixed-wing UAV swarms is presented in this paper. The proposed architecture is built on the concept of modularity. It divides the overall system to five layers: low-level control, high-level control, coordination, communication and human interaction layers, and many modules that can be viewed as black boxes with interfaces of inputs and outputs. In this way, not only the complexity of developing a large system can be reduced, but also the versatility of supporting diversified…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
