A Study of Collaborative Trajectory Planning Method Based on Starling Swarm Bionic Algorithm for Multi-Unmanned Aerial Vehicle

This academic paper addresses the challenges associated with trajectory planning for affordable and light-weight Unmanned Aerial Vehicle (UAV) swarms, despite limited computing resources and extensive cooperation requirements. Specifically, an imitation-based starling cluster cooperative trajectory...

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Veröffentlicht in:	Applied sciences Jg. 13; H. 11; S. 6795
Hauptverfasser:	Chen, Fayin, Tang, Yong, Li, Nannan, Wang, Tao, Hu, Yiwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.06.2023
Schlagworte:	Algorithms Analysis Birds Collaboration Computer simulation Computer-generated environments cooperative algorithms for starling imitation cooperative control of clusters Decision making Drone aircraft Genetic algorithms Methods Searches and seizures Simulation methods simulation modelling trajectory planning UAV clustering Unmanned aerial vehicles China Germany United States > US
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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