Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Julian Estevez"'
Publikováno v:
IEEE Access, Vol 12, Pp 144009-144016 (2024)
This study introduces a novel trajectory planning approach for the transportation of cable-suspended loads employing three quadrotors, relying on a reinforcement learning (RL) algorithm. The primary objective of this path planning method is to transp
Externí odkaz:
https://doaj.org/article/d50ea4e4e563497ba9ed089ac3aa8419
Publikováno v:
Drones, Vol 8, Iss 7, p 296 (2024)
The integration of Artificial Intelligence (AI) tools and techniques has provided a significant advance in drone technology. Besides the military applications, drones are being increasingly used for logistics and cargo transportation, agriculture, co
Externí odkaz:
https://doaj.org/article/d58dd3be48954cc4bdc0708c3fdb9d5b
Publikováno v:
Drones, Vol 8, Iss 2, p 35 (2024)
Payload transportation and manipulation by rotorcraft drones are receiving a lot of attention from the military, industrial and logistics research areas. The interactions between the UAV and the payload, plus the means of object attachment or manipul
Externí odkaz:
https://doaj.org/article/97502e4e40dd490ebeba2f813abc0f93
Publikováno v:
SoftwareX, Vol 19, Iss , Pp 101111- (2022)
This work describes a mesh-free collocation formulation for the acoustic fluid–fluid coupling among non-homogeneous bounded and unbounded fluid domains. The proposed formulations use series of functions that are generated using the analytical solut
Externí odkaz:
https://doaj.org/article/796d683ccd194dff9170a83c4e3c922f
Publikováno v:
IEEE Access, Vol 7, Pp 179027-179036 (2019)
The importance of educating the next generations in the understanding of the fundamentals of the upcoming scientific and technological innovations that will force a broad social and economical paradigm change can not be overstressed. One such breakth
Externí odkaz:
https://doaj.org/article/f2f810bee2fe4b008a1442b5abdabc78
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 5253 (2022)
This paper deals with the control of a team of unmanned air vehicles (UAVs), specifically quadrotors, for which their mission is the transportation of a deformable linear object (DLO), i.e., a cable, hose or similar object in quasi-stationary state,
Externí odkaz:
https://doaj.org/article/e6782e803f704409ba9e54f2af98d89a
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5487 (2021)
In this article, a control strategy approach is proposed for a system consisting of a quadrotor transporting a double pendulum. In our case, we attempt to achieve a swing free transportation of the pendulum, while the quadrotor closely follows a spec
Externí odkaz:
https://doaj.org/article/d9ce9b00c6a44542b65e5112b72f6429
Publikováno v:
Neurocomputing. 438:259-269
Road landmark inventory is becoming an important data product for the maintenance of transport infrastructures. Several commercial sensors are available which include synchronized optical cameras that allowto build 360° panoramic images of the surro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dc11fd5a83098554c76cca566632be5
https://doi.org/10.1016/j.neucom.2020.07.151
https://doi.org/10.1016/j.neucom.2020.07.151
Publikováno v:
TECNALIA Publications
Fundación Tecnalia Research & Innovation
Addi. Archivo Digital para la Docencia y la Investigación
instname
Fundación Tecnalia Research & Innovation
Addi. Archivo Digital para la Docencia y la Investigación
instname
[EN] This paper presents a numerical solution to optimize RTM processes based on a DDDAS methodology, taking permeability as stochastic. The model proposed in this investigation allows real-time accurate prediction of the filling rate by adjusting th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5149d9e2940019e3ba019e83d2a6885a
http://hdl.handle.net/10810/56688
http://hdl.handle.net/10810/56688
Publikováno v:
Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence ISBN: 9783031065262
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f9bc9e30d19e2bb091ff1d4cb030c0a
https://doi.org/10.1007/978-3-031-06527-9_47
https://doi.org/10.1007/978-3-031-06527-9_47