Zobrazeno 1 - 10
of 7 444
pro vyhledávání: '"Bernardino P"'
Structural health monitoring of aerostructures often faces challenges identifying damage, especially in complex systems. Multi-input multi-output modal parameter identification methods are known to offer enhanced insight compared to single-input mult
Externí odkaz:
http://arxiv.org/abs/2410.20160
We introduce the extremal range, a local statistic for studying the spatial extent of extreme events in random fields on $\mathbb{R}^d$. Conditioned on exceedance of a high threshold at a location $s$, the extremal range at $s$ is the random variable
Externí odkaz:
http://arxiv.org/abs/2411.02399
Autor:
Mazoyer, Johan, Goulas, Charles, Vidal, Fabrice, Dinis, Isaac Bernardino, Milli, Julien, Tallon, Michel, Galicher, Raphaël, Absil, Oliver, Béchet, Clémentine, Boccaletti, Anthony, Ferreira, Florian, Langlois, Maud, Martinez, Patrice, Mugnier, Laurent, N'diaye, Mamadou, de Xivry, Gilles Orban, Potier, Axel, Tallon-Bosc, Isabelle, Vigan, Arthur
SAXO+ is a planned enhancement of the existing SAXO, the VLT/ SPHERE adaptive optics system, deployed on ESO's Very Large Telescope. This upgrade is designed to significantly enhance the instrument's capacity to detect and analyze young Jupiter-like
Externí odkaz:
http://arxiv.org/abs/2406.18424
Autor:
Goulas, Charles, Galicher, Raphaël, Vidal, Fabrice, Mazoyer, Johan, Ferreira, Florian, Sevin, Arnaud, Boccaletti, Anthony, Gendron, Eric, Béchet, Clémentine, Tallon, Michel, Langlois, Maud, Kulcsár, Caroline, Raynaud, Henri-François, Galland, Nicolas, Schreiber, Laura, Dinis, Isaac Bernardino, Wildi, François, Chauvin, Gaël, Milli, Julien
Publikováno v:
A&A 689, A199 (2024)
SPHERE, operating at the VLT since 2014, is currently one of the high-contrast instruments with a higher performance. Its adaptive optics system, known as SAXO, will be upgraded to SAXO+, which features the addition of a second stage of adaptive opti
Externí odkaz:
http://arxiv.org/abs/2406.17644
We prove the Central Limit Theorem for the Euler-Poincar\'e characteristic of Berry's random wave model in a growing domain. We also show Gaussian fluctuations for a class of Berry's mixture models that correspond to a perturbation of the initial ran
Externí odkaz:
http://arxiv.org/abs/2406.01725
Autor:
Serrano, Gil, Jacinto, Marcelo, Ribeiro-Gomes, Jose, Pinto, Joao, Guerreiro, Bruno J., Bernardino, Alexandre, Cunha, Rita
Recent advances in aerial robotics have enabled the use of multirotor vehicles for autonomous payload transportation. Resorting only to classical methods to reliably model a quadrotor carrying a cable-slung load poses significant challenges. On the o
Externí odkaz:
http://arxiv.org/abs/2405.09428
The aim of this work is to establish how accurately a recent semantic-based foveal active perception model is able to complete visual tasks that are regularly performed by humans, namely, scene exploration and visual search. This model exploits the a
Externí odkaz:
http://arxiv.org/abs/2404.10836
In this work, we propose two cost efficient methods for object identification, using a multi-fingered robotic hand equipped with proprioceptive sensing. Both methods are trained on known objects and rely on a limited set of features, obtained during
Externí odkaz:
http://arxiv.org/abs/2403.19840
Autor:
Ruiz, Francisco J. R., Laakkonen, Tuomas, Bausch, Johannes, Balog, Matej, Barekatain, Mohammadamin, Heras, Francisco J. H., Novikov, Alexander, Fitzpatrick, Nathan, Romera-Paredes, Bernardino, van de Wetering, John, Fawzi, Alhussein, Meichanetzidis, Konstantinos, Kohli, Pushmeet
A key challenge in realizing fault-tolerant quantum computers is circuit optimization. Focusing on the most expensive gates in fault-tolerant quantum computation (namely, the T gates), we address the problem of T-count optimization, i.e., minimizing
Externí odkaz:
http://arxiv.org/abs/2402.14396
Autor:
Castanheira, Joao, Vicente, Pedro, Martinez-Cantin, Ruben, Jamone, Lorenzo, Bernardino, Alexandre
Publikováno v:
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Robust grasping is a major, and still unsolved, problem in robotics. Information about the 3D shape of an object can be obtained either from prior knowledge (e.g., accurate models of known objects or approximate models of familiar objects) or real-ti
Externí odkaz:
http://arxiv.org/abs/2402.07024