Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Faten Aljalaud"'
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2356 (2023)
Despite the rapid advances in autonomous guidance and navigation techniques for unmanned aerial vehicle (UAV) systems, there are still many challenges in finding an optimal path planning algorithm that allows outlining a collision-free navigation rou
Externí odkaz:
https://doaj.org/article/1a0a17a353c84014bc4ce60209b7c74a
Publikováno v:
Mathematics, Vol 11, Iss 9, p 2092 (2023)
This paper presents a novel path planning heuristic for multi-UAV pipe inspection missions inspired by the booby bird’s foraging behavior. The heuristic enables each UAV to find an optimal path that minimizes the detection time of defects in pipe n
Externí odkaz:
https://doaj.org/article/7f92bfb64b574954b34dc2d8893f3e39
Autonomous task allocation for multi-UAV systems based on area-restricted search behavior in animals
Autor:
Faten Aljalaud, Heba Kurdi
Publikováno v:
FNC/MobiSPC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9742ca7c6b98e4cb6260c8302e1caf85
https://doi.org/10.1016/j.procs.2021.07.031
https://doi.org/10.1016/j.procs.2021.07.031
Autor:
Faten Aljalaud, Nathan Sturtevant
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 4:203-204
The Increasing Cost Tree Search (ICTS) algorithm is used to produce optimal solutions to the multi-agent path finding problem (MAPF). In this problem, multiple agents are trying to reach their goals without conflicting with each other, while minimizi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17461c425291c8e6c61d967ef194a724
https://doi.org/10.1609/socs.v4i1.18303
https://doi.org/10.1609/socs.v4i1.18303