The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
UAV swarms: research, challenges, and future directions
Open accessAbstract
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.
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Cites
The Hungarian method for the assignment problem
Kuhn, H. W. (1955) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800020109 · Cited by 13,120
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Soori, M., Arezoo, B., & Dastres, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.001 · Cited by 1,131
Optimization Methods Applied to Motion Planning of Unmanned Aerial Vehicles: A Review
Israr, A., Ali, Z. A., Alkhammash, E. H., & Jussila, J. J. (2022) · Drones · doi:10.3390/drones6050126 · Cited by 61
Metadata
- Authors
- Alqudsi, Y., & Makaraci, M.
- Venue
- Journal of Engineering and Applied Science
- Published
- 2025-01-28
- Volume
- 72
- Issue
- 1
- ISSN
- 1110-1903 (ISSN-L)
- 2536-9512
- OpenAlex
- W4406918931
- Cited by
- 182
- References
- 3
- FWCI
- 80.23
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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