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Optimal Formation of Heterogeneous Drones Carrying a Load

Authors
Rizaldi, ArdianKim, Yoonsoo
Issue Date
Dec-2024
Publisher
IEEE
Keywords
drones; formation; optimization
Citation
2024 24TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, ICCAS 2024, pp 1455 - 1456
Pages
2
Indexed
SCIE
Journal Title
2024 24TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, ICCAS 2024
Start Page
1455
End Page
1456
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/78110
DOI
10.23919/ICCAS63016.2024.10773291
ISSN
2093-7121
Abstract
The use of drones in logistics transportation has significantly increased recently. One application involves transporting loads from one location to a different location. For larger loads, multiple drones are employed to carry the load collectively. This study introduces a single approach by relaxing the problem formulation and dual stage heuristic approach for dual-type multi-drone systems. Comparative analysis with a Simulated Annealing (SA) algorithm demonstrates that our Single Stage (SS) and Dual Stage (DS) approaches yield satisfactory results with minimal deviation from SA, highlighting SS's superior computational efficiency.
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공학계열 > 기계항공우주공학부 > Journal Articles

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대학원 (기계항공우주공학부)
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