UAV swarms: research, challenges, and future directions
Abstract Unmanned Aerial Vehicle (UAV) swarms represent a transformative advancement in aerial robotics, leveraging collaborative autonomy to enhance operational capabilities. This paper provides a comprehensive exploration of UAV swarm infrastructure, recent research advancements, and diverse appli...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-01-01
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| Series: | Journal of Engineering and Applied Science |
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| Online Access: | https://doi.org/10.1186/s44147-025-00582-3 |
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| _version_ | 1832571667399835648 |
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| author | Yunes Alqudsi Murat Makaraci |
| author_facet | Yunes Alqudsi Murat Makaraci |
| author_sort | Yunes Alqudsi |
| collection | DOAJ |
| description | Abstract Unmanned Aerial Vehicle (UAV) swarms represent a transformative advancement in aerial robotics, leveraging collaborative autonomy to enhance operational capabilities. This paper provides a comprehensive exploration of UAV swarm infrastructure, recent research advancements, and diverse applications. Key areas such as coordinated path planning, task assignment, formation control, and security considerations are examined, highlighting how Artificial Intelligence (AI) and Machine Learning (ML) are integrated to improve decision-making and adaptability. Applications span civilian sectors, including entertainment, infrastructure inspection, and delivery services, as well as military applications in surveillance, combat support, and logistics. The paper addresses technical challenges, regulatory constraints, and ethical considerations, while outlining future directions focused on scalability, robustness, and societal integration. This review consolidates the evolving landscape of UAV swarms, identifying critical challenges and guiding future research endeavors. |
| format | Article |
| id | doaj-art-87b4152e4f214839b6f87f1ee264457a |
| institution | Kabale University |
| issn | 1110-1903 2536-9512 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Engineering and Applied Science |
| spelling | doaj-art-87b4152e4f214839b6f87f1ee264457a2025-02-02T12:26:03ZengSpringerOpenJournal of Engineering and Applied Science1110-19032536-95122025-01-0172112410.1186/s44147-025-00582-3UAV swarms: research, challenges, and future directionsYunes Alqudsi0Murat Makaraci1Aerospace Engineering Department, Faculty of Aeronautics and Astronautics, Kocaeli UniversityMechanical Engineering Department, Faculty of Engineering, Kocaeli UniversityAbstract Unmanned Aerial Vehicle (UAV) swarms represent a transformative advancement in aerial robotics, leveraging collaborative autonomy to enhance operational capabilities. This paper provides a comprehensive exploration of UAV swarm infrastructure, recent research advancements, and diverse applications. Key areas such as coordinated path planning, task assignment, formation control, and security considerations are examined, highlighting how Artificial Intelligence (AI) and Machine Learning (ML) are integrated to improve decision-making and adaptability. Applications span civilian sectors, including entertainment, infrastructure inspection, and delivery services, as well as military applications in surveillance, combat support, and logistics. The paper addresses technical challenges, regulatory constraints, and ethical considerations, while outlining future directions focused on scalability, robustness, and societal integration. This review consolidates the evolving landscape of UAV swarms, identifying critical challenges and guiding future research endeavors.https://doi.org/10.1186/s44147-025-00582-3UAV swarmsMulti-robot systemsAutonomous aerial systemsFormation controlDistributed coordinationSwarm intelligence |
| spellingShingle | Yunes Alqudsi Murat Makaraci UAV swarms: research, challenges, and future directions Journal of Engineering and Applied Science UAV swarms Multi-robot systems Autonomous aerial systems Formation control Distributed coordination Swarm intelligence |
| title | UAV swarms: research, challenges, and future directions |
| title_full | UAV swarms: research, challenges, and future directions |
| title_fullStr | UAV swarms: research, challenges, and future directions |
| title_full_unstemmed | UAV swarms: research, challenges, and future directions |
| title_short | UAV swarms: research, challenges, and future directions |
| title_sort | uav swarms research challenges and future directions |
| topic | UAV swarms Multi-robot systems Autonomous aerial systems Formation control Distributed coordination Swarm intelligence |
| url | https://doi.org/10.1186/s44147-025-00582-3 |
| work_keys_str_mv | AT yunesalqudsi uavswarmsresearchchallengesandfuturedirections AT muratmakaraci uavswarmsresearchchallengesandfuturedirections |