Cooperative Threat Engagement Using Drone Swarms
The ability of multiple manned and unmanned aircraft systems to cooperatively engage and disable an aerial threat plays a decisive role in modern warfare scenarios. In this paper, we apply key methods to enable the so-called cooperative threat engagement capability among multiple networked agents, e...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10025744/ |
_version_ | 1797821102678867968 |
---|---|
author | Jorge A. Ricardo Luiz Giacomossi Joao F. S. Trentin Jose F. B. Brancalion Marcos R. O. A. Maximo Davi A. Santos |
author_facet | Jorge A. Ricardo Luiz Giacomossi Joao F. S. Trentin Jose F. B. Brancalion Marcos R. O. A. Maximo Davi A. Santos |
author_sort | Jorge A. Ricardo |
collection | DOAJ |
description | The ability of multiple manned and unmanned aircraft systems to cooperatively engage and disable an aerial threat plays a decisive role in modern warfare scenarios. In this paper, we apply key methods to enable the so-called cooperative threat engagement capability among multiple networked agents, e.g., a swarm of drones, with combat and communication capabilities. In particular, this research combines AI-based decision-making and control techniques for a swarm of loyal wingman drones to coordinate efficient defense actions in a cooperative and autonomous manner. We apply these concepts in a defense scenario that is modeled to analyze the loyal wingman concept, which we consider an interesting testbed for cooperative decision-making and low-level control techniques. The investigated methods were implemented in a realistic 3D UAV simulator for demonstration and evaluation. |
first_indexed | 2024-03-13T09:47:47Z |
format | Article |
id | doaj.art-ac39129b5cc64c528f14e0e2d88567ac |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-03-13T09:47:47Z |
publishDate | 2023-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-ac39129b5cc64c528f14e0e2d88567ac2023-05-24T23:00:05ZengIEEEIEEE Access2169-35362023-01-01119529954610.1109/ACCESS.2023.323981710025744Cooperative Threat Engagement Using Drone SwarmsJorge A. Ricardo0https://orcid.org/0000-0001-5323-2970Luiz Giacomossi1https://orcid.org/0000-0001-5187-1859Joao F. S. Trentin2https://orcid.org/0000-0002-6726-8699Jose F. B. Brancalion3https://orcid.org/0000-0002-4387-0204Marcos R. O. A. Maximo4https://orcid.org/0000-0003-2944-4476Davi A. Santos5https://orcid.org/0000-0001-5995-3103Mechatronics Department, Mechanical Engineering Division, Aeronautics Institute of Technology (ITA), São José dos Campos, São Paulo, BrazilAutonomous Computational Systems Laboratory (LAB-SCA), Computer Science Division, Aeronautics Institute of Technology (ITA), São José dos Campos, São Paulo, BrazilMechatronics Department, Mechanical Engineering Division, Aeronautics Institute of Technology (ITA), São José dos Campos, São Paulo, BrazilEMBRAER S. A., São José dos Campos, São Paulo, BrazilAutonomous Computational Systems Laboratory (LAB-SCA), Computer Science Division, Aeronautics Institute of Technology (ITA), São José dos Campos, São Paulo, BrazilMechatronics Department, Mechanical Engineering Division, Aeronautics Institute of Technology (ITA), São José dos Campos, São Paulo, BrazilThe ability of multiple manned and unmanned aircraft systems to cooperatively engage and disable an aerial threat plays a decisive role in modern warfare scenarios. In this paper, we apply key methods to enable the so-called cooperative threat engagement capability among multiple networked agents, e.g., a swarm of drones, with combat and communication capabilities. In particular, this research combines AI-based decision-making and control techniques for a swarm of loyal wingman drones to coordinate efficient defense actions in a cooperative and autonomous manner. We apply these concepts in a defense scenario that is modeled to analyze the loyal wingman concept, which we consider an interesting testbed for cooperative decision-making and low-level control techniques. The investigated methods were implemented in a realistic 3D UAV simulator for demonstration and evaluation.https://ieeexplore.ieee.org/document/10025744/Cooperative engagement capabilityloyal wingman UAVdecision makingmanned-unmanned teamingsliding mode control |
spellingShingle | Jorge A. Ricardo Luiz Giacomossi Joao F. S. Trentin Jose F. B. Brancalion Marcos R. O. A. Maximo Davi A. Santos Cooperative Threat Engagement Using Drone Swarms IEEE Access Cooperative engagement capability loyal wingman UAV decision making manned-unmanned teaming sliding mode control |
title | Cooperative Threat Engagement Using Drone Swarms |
title_full | Cooperative Threat Engagement Using Drone Swarms |
title_fullStr | Cooperative Threat Engagement Using Drone Swarms |
title_full_unstemmed | Cooperative Threat Engagement Using Drone Swarms |
title_short | Cooperative Threat Engagement Using Drone Swarms |
title_sort | cooperative threat engagement using drone swarms |
topic | Cooperative engagement capability loyal wingman UAV decision making manned-unmanned teaming sliding mode control |
url | https://ieeexplore.ieee.org/document/10025744/ |
work_keys_str_mv | AT jorgearicardo cooperativethreatengagementusingdroneswarms AT luizgiacomossi cooperativethreatengagementusingdroneswarms AT joaofstrentin cooperativethreatengagementusingdroneswarms AT josefbbrancalion cooperativethreatengagementusingdroneswarms AT marcosroamaximo cooperativethreatengagementusingdroneswarms AT daviasantos cooperativethreatengagementusingdroneswarms |