Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Oscar Reinoso"'
Autor:
Marc Fabregat-Jaén, Adrián Peidró, Paula Mollá-Santamaría, Francisco José Soler, Oscar Reinoso
Publikováno v:
Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 21, Iss 3, Pp 262-273 (2024)
Los robots trepadores deben ser capaces de navegar autónomamente estructuras tridimensionales reticulares para evitar que operarios humanos se expongan a riesgos significativos al realizar tareas de mantenimiento en tales escenarios. Para dotarlos d
Externí odkaz:
https://doaj.org/article/3fc8346a7c624ca2842e1e94ad09d600
Publikováno v:
IEEE Access, Vol 8, Pp 9084-9101 (2020)
This paper is focused on the design of a mobile robot whose objective is to apply thermal insulation spray in underfloor voids, to improve the energy efficiency of buildings. Solving robustly the mapping and localization problems is crucial to achiev
Externí odkaz:
https://doaj.org/article/11209c26712041f18cfc2fd22af38958
Publikováno v:
IEEE Access, Vol 8, Pp 81822-81848 (2020)
The use of visual sensors in robotic navigation tasks is a common approach, and numerous examples can be found in the literature. This work focuses on the problem of map building and localization using omnidirectional images as the only source of inf
Externí odkaz:
https://doaj.org/article/825405bc12614ffaa8965e476959722a
Autor:
Luis Payá, Oscar Reinoso
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1567 (2023)
Navigation is one of the fundamental abilities that mobile robots must be endowed with, so that they can carry out high-level tasks autonomously in any a priori unknown environment [...]
Externí odkaz:
https://doaj.org/article/74e99677aea94b4a930df4ed38c9d06c
Publikováno v:
IEEE Access, Vol 7, Pp 49580-49595 (2019)
In this paper, a hierarchical localization framework within indoor environments is proposed and evaluated, considering severe variations of the illumination conditions. The only source of information both to build a model of the environment and to so
Externí odkaz:
https://doaj.org/article/28672087e461443f870d63f6d320cf57
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7521 (2021)
Understanding the environment is an essential ability for robots to be autonomous. In this sense, Convolutional Neural Networks (CNNs) can provide holistic descriptors of a scene. These descriptors have proved to be robust in dynamic environments. Th
Externí odkaz:
https://doaj.org/article/d35e6d10f84c4fcb9455788e3a6e4803
Publikováno v:
Sensors, Vol 21, Iss 10, p 3327 (2021)
Over the last few years, mobile robotics has experienced a great development thanks to the wide variety of problems that can be solved with this technology. An autonomous mobile robot must be able to operate in a priori unknown environments, planning
Externí odkaz:
https://doaj.org/article/1d0e0b73586e4014a9ec333365f0e3f5
Autor:
Oscar Reinoso, Luis Payá
Publikováno v:
Applied Sciences, Vol 10, Iss 4, p 1317 (2020)
In recent years, the presence of mobile robots in diverse scenarios has considerably increased, to solve a variety of tasks [...]
Externí odkaz:
https://doaj.org/article/c49f42089d1f46a3b17b9d53b61cd68f
Autor:
Oscar Reinoso, Luis Payá
Publikováno v:
Sensors, Vol 20, Iss 3, p 910 (2020)
Visual sensors have characteristics that make them interesting as sources of information for any process or system [...]
Externí odkaz:
https://doaj.org/article/ee328b23ca804484b9cd5bc9be2adb8f
Position Estimation and Local Mapping Using Omnidirectional Images and Global Appearance Descriptors
Publikováno v:
Sensors, Vol 15, Iss 10, Pp 26368-26395 (2015)
This work presents some methods to create local maps and to estimate the position of a mobile robot, using the global appearance of omnidirectional images. We use a robot that carries an omnidirectional vision system on it. Every omnidirectional imag
Externí odkaz:
https://doaj.org/article/089e0287f92547ebb0b8b46642da780e