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Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination
Review Article  ·  Published: 29 October 2024
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ICCK Transactions on Sensing, Communication, and Control
Volume 1, Issue 2, 2024: 72-88
Review Article Free to Read

Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination

by
Ghulam E Mustafa Abro Ghulam E Mustafa Abro 1 * ORCID
Zain Anwar Ali Zain Anwar Ali 2
Rana Javed Masood Rana Javed Masood 3
1 Interdisciplinary Research Centre for Aviation and Space Exploration, King Fahd University of Petroleum and Minerals, Dhahran 31261, Kingdom of Saudi Arabia
2 Electronic Engineering Department, Maynooth International Engineering College, Maynooth University, Maynooth, Co. Kildare, Ireland
3 Electronic Engineering Department, Usman Institute of Technology, Karachi 75300, Pakistan
* Corresponding Author: Ghulam E Mustafa Abro, [email protected]
Volume 1, Issue 2
Volume 1, Issue 2 2024
Received: 23 September 2024 Accepted: 06 October 2024 Published: 29 October 2024 CrossMark
Download PDF 3.19 MB Cite Metrics
DOI: 10.62762/TSCC.2024.211408
ARK: ark:/57805/tscc.2024.211408

Article Information

Published in ICCK Transactions on Sensing, Communication, and Control
Volume/Issue Volume 1, Issue 2, 2024
Pages 72-88
Cited by 18 (Crossref) 23 (Scopus)

Abstract

Collective motion has been a pivotal area of research, especially due to its substantial importance in Unmanned Aerial Vehicle (UAV) systems for several purposes, including path planning, formation control, and trajectory tracking. UAVs significantly enhance coordination, flexibility, and operational efficiency in practical applications such as search-and-rescue operations, environmental monitoring, and smart city construction. Notwithstanding the progress in UAV technology, significant problems persist, especially in attaining dependable and effective coordination in intricate, dynamic, and unexpected settings. This study offers a comprehensive examination of the fundamental principles, models, and tactics employed to comprehend and regulate collective motion in UAV systems. This paper methodically analyses recent breakthroughs, exposes deficiencies in existing approaches, and emphasises case studies demonstrating the practical application of collective motion. The survey examines the substantial practical effects of collective motion on improving UAV operations, emphasizing scalability, resilience, and adaptability. This review is significant for its potential to inform future research and practical applications. It seeks to provide a systematic framework for the advancement of more resilient and scalable UAV collaboration models, aiming to tackle the ongoing challenges in the domain. The insights offered are essential for academics and practitioners aiming to enhance UAV collaboration in dynamic environments, facilitating the development of more sophisticated, flexible, and mission-resilient multi-UAV systems. This study is set to significantly advance UAV technology, having extensive ramifications for several industries.

Graphical Abstract

Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination

Keywords

collective motion dynamic agent systems formation control path planning and swarm intelligence

Data Availability Statement

Not applicable.

Funding

This work was supported by the Interdisciplinary Research Centre for Aviation and Space Exploration (IRCASE), King Fahd University of Petroleum and Minerals Kingdom of Saudi Arabia.

Conflicts of Interest

The authors declare no conflicts of interest.

Ethical Approval and Consent to Participate

Not applicable.

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APA Style
Abro, G. E. M., Ali, Z. A., & Masood, R. J. (2024). Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination. ICCK Transactions on Sensing, Communication, and Control, 1(2), 72-88. https://doi.org/10.62762/TSCC.2024.211408
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TY  - JOUR
AU  - Abro, Ghulam E Mustafa
AU  - Ali, Zain Anwar
AU  - Masood, Rana Javed
PY  - 2024
DA  - 2024/10/29
TI  - Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination
JO  - ICCK Transactions on Sensing, Communication, and Control
T2  - ICCK Transactions on Sensing, Communication, and Control
JF  - ICCK Transactions on Sensing, Communication, and Control
VL  - 1
IS  - 2
SP  - 72
EP  - 88
DO  - 10.62762/TSCC.2024.211408
UR  - https://www.icck.org/article/abs/TSCC.2024.211408
KW  - collective motion
KW  - dynamic agent systems
KW  - formation control
KW  - path planning and swarm intelligence
AB  - Collective motion has been a pivotal area of research, especially due to its substantial importance in Unmanned Aerial Vehicle (UAV) systems for several purposes, including path planning, formation control, and trajectory tracking. UAVs significantly enhance coordination, flexibility, and operational efficiency in practical applications such as search-and-rescue operations, environmental monitoring, and smart city construction. Notwithstanding the progress in UAV technology, significant problems persist, especially in attaining dependable and effective coordination in intricate, dynamic, and unexpected settings. This study offers a comprehensive examination of the fundamental principles, models, and tactics employed to comprehend and regulate collective motion in UAV systems. This paper methodically analyses recent breakthroughs, exposes deficiencies in existing approaches, and emphasises case studies demonstrating the practical application of collective motion. The survey examines the substantial practical effects of collective motion on improving UAV operations, emphasizing scalability, resilience, and adaptability. This review is significant for its potential to inform future research and practical applications. It seeks to provide a systematic framework for the advancement of more resilient and scalable UAV collaboration models, aiming to tackle the ongoing challenges in the domain. The insights offered are essential for academics and practitioners aiming to enhance UAV collaboration in dynamic environments, facilitating the development of more sophisticated, flexible, and mission-resilient multi-UAV systems. This study is set to significantly advance UAV technology, having extensive ramifications for several industries.
SN  - 3068-9287
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  -
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@article{Abro2024Synergisti,
  author = {Ghulam E Mustafa Abro and Zain Anwar Ali and Rana Javed Masood},
  title = {Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination},
  journal = {ICCK Transactions on Sensing, Communication, and Control},
  year = {2024},
  volume = {1},
  number = {2},
  pages = {72-88},
  doi = {10.62762/TSCC.2024.211408},
  url = {https://www.icck.org/article/abs/TSCC.2024.211408},
  abstract = {Collective motion has been a pivotal area of research, especially due to its substantial importance in Unmanned Aerial Vehicle (UAV) systems for several purposes, including path planning, formation control, and trajectory tracking. UAVs significantly enhance coordination, flexibility, and operational efficiency in practical applications such as search-and-rescue operations, environmental monitoring, and smart city construction. Notwithstanding the progress in UAV technology, significant problems persist, especially in attaining dependable and effective coordination in intricate, dynamic, and unexpected settings. This study offers a comprehensive examination of the fundamental principles, models, and tactics employed to comprehend and regulate collective motion in UAV systems. This paper methodically analyses recent breakthroughs, exposes deficiencies in existing approaches, and emphasises case studies demonstrating the practical application of collective motion. The survey examines the substantial practical effects of collective motion on improving UAV operations, emphasizing scalability, resilience, and adaptability. This review is significant for its potential to inform future research and practical applications. It seeks to provide a systematic framework for the advancement of more resilient and scalable UAV collaboration models, aiming to tackle the ongoing challenges in the domain. The insights offered are essential for academics and practitioners aiming to enhance UAV collaboration in dynamic environments, facilitating the development of more sophisticated, flexible, and mission-resilient multi-UAV systems. This study is set to significantly advance UAV technology, having extensive ramifications for several industries.},
  keywords = {collective motion, dynamic agent systems, formation control, path planning and swarm intelligence},
  issn = {3068-9287},
  publisher = {Institute of Central Computation and Knowledge}
}

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ICCK Transactions on Sensing, Communication, and Control
ICCK Transactions on Sensing, Communication, and Control
ISSN: 3068-9287 (Online) | ISSN: 3068-9279 (Print)
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