Drone-Assisted Path Planning Optimization for Mobile Robots in Dynamic Scenarios

Basit Öğe Kaydı
dc.contributor.authorBakirci, Murat
dc.contributor.authorOzer, Muhammed Mirac
dc.date.accessioned2025-03-17T12:22:52Z
dc.date.available2025-03-17T12:22:52Z
dc.date.issued2023
dc.departmentTarsus Üniversitesi
dc.description7th IEEE International Conference on Methods and Systems of Navigation and Motion Control, MSNMC 2023 -- 24 October 2023 through 27 October 2023 -- Kyiv -- 195046
dc.description.abstractIn 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.
dc.identifier.doi10.1109/MSNMC61017.2023.10329084
dc.identifier.endpage111
dc.identifier.isbn979-835039515-0
dc.identifier.scopus2-s2.0-85180366554
dc.identifier.scopusqualityN/A
dc.identifier.startpage106
dc.identifier.urihttps://doi.org/10.1109/MSNMC61017.2023.10329084
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1417
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2023 IEEE 7th International Conference on Methods and Systems of Navigation and Motion Control, MSNMC 2023 - Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250316
dc.subjectdrone application
dc.subjectiterative solution approach
dc.subjectmachine learning
dc.subjectmobile robot
dc.subjectvehicle routing problem
dc.titleDrone-Assisted Path Planning Optimization for Mobile Robots in Dynamic Scenarios
dc.typeConference Object

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu