Drone-Assisted Path Planning Optimization for Mobile Robots in Dynamic Scenarios
[ X ]
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the seamless integration of drones into military distribution operations is facilitated by coordinating the movements of mobile robots in both time and space. The approach consists of two key stages: first, the development of an iterative exact solution methodology to establish the optimal route for the mobile robot, and second, the optimization of the drone's route through a mixed integer linear programming model. The performance of this approach is assessed by initiating the process with the shortest route for the mobile robot and iteratively refining assignment and routing decisions. The primary objective of this study is to enhance the simultaneous deployment of drones and mobile robots within military zones. By doing so, the aim is to harness the full potential of unmanned aerial vehicles (UAVs) more efficiently and lay a solid foundation for future technological advancements. © 2023 IEEE.
Açıklama
7th IEEE International Conference on Methods and Systems of Navigation and Motion Control, MSNMC 2023 -- 24 October 2023 through 27 October 2023 -- Kyiv -- 195046
Anahtar Kelimeler
drone application, iterative solution approach, machine learning, mobile robot, vehicle routing problem
Kaynak
2023 IEEE 7th International Conference on Methods and Systems of Navigation and Motion Control, MSNMC 2023 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
