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Cooperative and Decentralized Decision-Making for Loyal Wingman UAVs

Fulltext:


Authors:

Luiz Giacomossi, Stiven Schwanz Dias , José F. B. Brancalion , Marcos R. O. A. Maximo

Publication Type:

Conference/Workshop Paper

Venue:

IEEE Latin American Robotics Symposium

Publisher:

IEEE

DOI:

10.1109/LARS/SBR/WRE54079.2021.9605468

Abstract

With the application of decision-making techniques, it is possible to automate many of the intelligent decisions of UAVs, leaving human commanders to focus on higher-level decisions in modern warfare scenarios, providing a crucial tactical advantage. This paper applies key methods to enable decentralized decision-making for autonomous combat UAVs, also known as loyal wingman (LW) drones. A simulator was developed to simulate to implement and analyze the behaviors of the so-called LW. We used as the main decision-making technique the construction of a behavior tree (BT) capable of providing decisions in a decentralized manner, and for parameters optimization, the PSO optimization algorithm was used. Our approach shows a promising result of threat elimination efficiency of approximately 93%.

Bibtex

@inproceedings{Giacomossi7163,
author = {Luiz Giacomossi and Stiven Schwanz Dias and Jos{\'e} F. B. Brancalion and Marcos R. O. A. Maximo},
title = {Cooperative and Decentralized Decision-Making for Loyal Wingman UAVs},
number = {72-77},
month = {November},
year = {2021},
booktitle = {IEEE Latin American Robotics Symposium},
publisher = {IEEE},
url = {http://www.es.mdu.se/publications/7163-}
}