How to Swarm: Entropy-Based Model Parameter Analysis

被引：0

作者：

Rayon, Nathan ^{[1
]}

Wheeless, Stefan ^{[2
]}

Broom, Gabriel ^{[1
]}

Sevil, Hakki Erhan ^{[3
]}

机构：

[1] Univ West Florida UWF, Dept Comp Sci, Pensacola, FL 32514 USA

[2] Univ West Florida UWF, Dept Elect & Comp Engn, Pensacola, FL 32514 USA

[3] Univ West Florida UWF, Dept Intelligent Syst & Robot, Pensacola, FL 32502 USA

来源：

SOUTHEASTCON 2024 | 2024年

关键词：

Swarm Model; Parameter Analysis; Unmanned Aerial Vehicles (UAVs); Simulation;

D O I：

10.1109/SOUTHEASTCON52093.2024.10500106

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, we implemented our entropy-based swarm model to an autonomous waypoint navigation application for a group of multi-rotor Unmanned Aerial Vehicles (UAVs) through a set course in free space. Multi-UAVs of multiple group sizes were run with variations in parameters, and the path lengths traveled were measured to determine the most efficient configurations, and we investigated the impact of varying parameters on the swarm behavior performance. The simulation of the UAV kinematics and environment was performed in AirSim. The results show that the swarm model with different parameter setup operates successfully and the effects of the parameter selection on our multi-UAV swarm model are discussed.

引用

页码：955 / 959

页数：5

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