UAV swarms: research, challenges, and future directions

Journal of Engineering and Applied Science, Год журнала: 2025, Номер 72(1)

Опубликована: Янв. 28, 2025

Abstract Unmanned Aerial Vehicle (UAV) swarms represent a transformative advancement in aerial robotics, leveraging collaborative autonomy to enhance operational capabilities. This paper provides comprehensive exploration of UAV swarm infrastructure, recent research advancements, and diverse applications. Key areas such as coordinated path planning, task assignment, formation control, security considerations are examined, highlighting how Artificial Intelligence (AI) Machine Learning (ML) integrated improve decision-making adaptability. Applications span civilian sectors, including entertainment, infrastructure inspection, delivery services, well military applications surveillance, combat support, logistics. The addresses technical challenges, regulatory constraints, ethical considerations, while outlining future directions focused on scalability, robustness, societal integration. review consolidates the evolving landscape swarms, identifying critical challenges guiding endeavors.

Язык: Английский

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Integrated Optimization of Simultaneous Target Assignment and Path Planning for Aerial Robot Swarm

The Journal of Supercomputing, Год журнала: 2024, Номер 81(1)

Опубликована: Окт. 29, 2024

Язык: Английский

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