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pro vyhledávání: '"Martinez DE"'
Precise spatial manipulation of particles via optical forces is essential in many research areas, ranging from biophysics to atomic physics. Central to this effort is the challenge of designing optical systems that are optimized for specific applicat
Externí odkaz:
http://arxiv.org/abs/2410.20009
Autor:
Rodriguez-Gomez, Juan Pablo, Dios, Jose Ramiro Martinez-de, Ollero, Anibal, Gallego, Guillermo
Publikováno v:
IEEE Robotics and Automation Letters (RA-L), 2024
Vision-based perception systems are typically exposed to large orientation changes in different robot applications. In such conditions, their performance might be compromised due to the inherent complexity of processing data captured under challengin
Externí odkaz:
http://arxiv.org/abs/2408.15602
Autor:
Lindström, Adam Dahlgren, Methnani, Leila, Krause, Lea, Ericson, Petter, de Troya, Íñigo Martínez de Rituerto, Mollo, Dimitri Coelho, Dobbe, Roel
This paper critically evaluates the attempts to align Artificial Intelligence (AI) systems, especially Large Language Models (LLMs), with human values and intentions through Reinforcement Learning from Feedback (RLxF) methods, involving either human
Externí odkaz:
http://arxiv.org/abs/2406.18346
Autor:
Jokisch, Beñat Martinez de Aguirre, Gøtzsche, Benjamin Falkenberg, Kristensen, Philip Trøst, Wubs, Martijn, Sigmund, Ole, Christiansen, Rasmus Ellebæk
Publikováno v:
ACS Photonics (2024)
Optical trapping enables precise control of individual particles of different sizes, such as atoms, molecules, or nanospheres. Optical tweezers provide free-space omnidirectional optical trapping of objects in laboratories around the world. As an alt
Externí odkaz:
http://arxiv.org/abs/2404.15102
Publikováno v:
Physica B: Condensed Matter, 2020, 581, pp.411935
In this work, two different parametric hysteresis models, the Jiles-Atherton model and the Mel'gui relation, have been combined to form a more general hysteresis operator, suitable for the description of families of experimental B(H) curves obtained
Externí odkaz:
http://arxiv.org/abs/2404.14004
Autor:
Ollero, Anibal, Suarez, Alejandro, Papaioannidis, Christos, Pitas, Ioannis, Marredo, Juan M., Duong, Viet, Ebeid, Emad, Kratky, Vit, Saska, Martin, Hanoune, Chloe, Afifi, Amr, Franchi, Antonio, Vourtsis, Charalampos, Floreano, Dario, Vasiljevic, Goran, Bogdan, Stjepan, Caballero, Alvaro, Ruggiero, Fabio, Lippiello, Vincenzo, Matilla, Carlos, Cioffi, Giovanni, Scaramuzza, Davide, Martinez-de-Dios, Jose R., Arrue, Begona C., Martin, Carlos, Zurad, Krzysztof, Gaitan, Carlos, Rodriguez, Jacob, Munoz, Antonio, Viguria, Antidio
Large-scale infrastructures are prone to deterioration due to age, environmental influences, and heavy usage. Ensuring their safety through regular inspections and maintenance is crucial to prevent incidents that can significantly affect public safet
Externí odkaz:
http://arxiv.org/abs/2401.02343
Publikováno v:
IEEE Robotics and Automation Letters Volume: 7, Issue: 2, 2022
Autonomous flight of flapping-wing robots is a major challenge for robot perception. Most of the previous sense-and-avoid works have studied the problem of obstacle avoidance for flapping-wing robots considering only static obstacles. This paper pres
Externí odkaz:
http://arxiv.org/abs/2310.09875
Autor:
Tapia, Raul, Rodríguez-Gómez, Juan Pablo, Sanchez-Diaz, Juan Antonio, Gañán, Francisco Javier, Rodríguez, Iván Gutierrez, Luna-Santamaria, Javier, Dios, José Ramiro Martínez-de, Ollero, Anibal
Perception systems for ornithopters face severe challenges. The harsh vibrations and abrupt movements caused during flapping are prone to produce motion blur and strong lighting condition changes. Their strict restrictions in weight, size, and energy
Externí odkaz:
http://arxiv.org/abs/2309.05450