Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Ventura Rodrigo"'
Recent spacecraft mission concepts propose larger payloads that have lighter, less rigid structures. For large lightweight structures, the natural frequencies of their vibration modes may fall within the attitude controller bandwidth, threatening the
Externí odkaz:
http://arxiv.org/abs/2410.07376
Autor:
Patricio, Alvaro, Valente, Joao, Dehban, Atabak, Cadilha, Ines, Reis, Daniel, Ventura, Rodrigo
The integration of Artificial Intelligence (AI) and Augmented Reality (AR) is set to transform satellite Assembly, Integration, and Testing (AIT) processes by enhancing precision, minimizing human error, and improving operational efficiency in cleanr
Externí odkaz:
http://arxiv.org/abs/2409.18101
Publikováno v:
IEEE Access 2024 June 3
Pseudo-haptic techniques are becoming increasingly popular in human-computer interaction. They replicate haptic sensations by leveraging primarily visual feedback rather than mechanical actuators. These techniques bridge the gap between the real and
Externí odkaz:
http://arxiv.org/abs/2406.01102
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems 14 (2), 258-268, 2021
Time perception - how humans and animals perceive the passage of time - forms the basis for important cognitive skills such as decision-making, planning, and communication. In this work, we propose a framework for examining the mechanisms responsible
Externí odkaz:
http://arxiv.org/abs/2311.04030
On-orbit close proximity operations involve robotic spacecraft maneuvering and making decisions for a growing number of mission scenarios demanding autonomy, including on-orbit assembly, repair, and astronaut assistance. Of these scenarios, on-orbit
Externí odkaz:
http://arxiv.org/abs/2301.01319
Autor:
Nery Bruno, Ventura Rodrigo
Publikováno v:
Paladyn, Vol 2, Iss 1, Pp 18-24 (2011)
This paper addresses the problem of segmenting perception in physical robots into meaningful events along time. In structured environments this problem can be approached using domain-specific techniques, but in the general case, as when facing unknow
Externí odkaz:
https://doaj.org/article/113680cb7c5e42c48a4c7c7b040fa76a
Autor:
Carvalho Henrique, Vale Alberto, Marques Rúben, Ventura Rodrigo, Brouwer Yoeri, Gonçalves Bruno
Publikováno v:
EPJ Web of Conferences, Vol 170, p 07014 (2018)
Activated material can be found in different scenarios, such as in nuclear reactor facilities or medical facilities (e.g. in positron emission tomography commonly known as PET scanning). In addition, there are unexpected scenarios resulting from poss
Externí odkaz:
https://doaj.org/article/dd5c86ec63c74f84b16af64e155e17ba
Autor:
Albee, Keenan, Ekal, Monica, Coltin, Brian, Ventura, Rodrigo, Linares, Richard, Miller, David W.
Certain forms of uncertainty that robotic systems encounter can be explicitly learned within the context of a known model, like parametric model uncertainties such as mass and moments of inertia. Quantifying such parametric uncertainty is important f
Externí odkaz:
http://arxiv.org/abs/2203.01547
With deep learning gaining attention from the research community for prediction and control of real physical systems, learning important representations is becoming now more than ever mandatory. It is of extreme importance that deep learning represen
Externí odkaz:
http://arxiv.org/abs/2201.08281
Autor:
Ekal, Monica, Albee, Keenan, Coltin, Brian, Ventura, Rodrigo, Linares, Richard, Miller, David W.
Space free-flyers like the Astrobee robots currently operating aboard the International Space Station must operate with inherent system uncertainties. Parametric uncertainties like mass and moment of inertia are especially important to quantify in th
Externí odkaz:
http://arxiv.org/abs/2112.05878