Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Francisco J. Rodríguez-Lera"'
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Externí odkaz:
https://doaj.org/article/35d3c99d6a3d46fdbcd0505c585c5c42
Autor:
Francisco Martín, Jonatan Ginés, Francisco J. Rodríguez-Lera, Angel M. Guerrero-Higueras, Vicente Matellán Olivera
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
This paper proposes a novel system for managing visual attention in social robots. This system is based on a client/server approach that allows integration with a cognitive architecture controlling the robot. The core of this architecture is a distri
Externí odkaz:
https://doaj.org/article/79dfa29a3d78433888fbe0b262453144
Autor:
Claudia Álvarez-Aparicio, Ángel Manuel Guerrero-Higueras, Luis V. Calderita, Francisco J. Rodríguez-Lera, Vicente Matellán, Camino Fernández-Llamas
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 10043 (2021)
Convolutional Neural Networks are usually fitted with manually labelled data. The labelling process is very time-consuming since large datasets are required. The use of external hardware may help in some cases, but it also introduces noise to the lab
Externí odkaz:
https://doaj.org/article/a73eebb439e341b69b5b95c61ec8ebfc
Autor:
Francisco J. Rodríguez Lera, David Fernández González, Francisco Martín Rico, Ángel Manuel Guerrero-Higueras, Miguel Ángel Conde
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 7157 (2021)
Virtual desktops in cloud scenarios play a significant role in higher education. Nowadays, the idea of moving laboratories to the cloud seems mandatory and it is necessary to maintain students’ commitment in this new scenario. This paper aims at tw
Externí odkaz:
https://doaj.org/article/3ac72c36b5c24df3a5bf9380f3bc4418
Autor:
Ángel Manuel Guerrero-Higueras, Claudia Álvarez-Aparicio, María Carmen Calvo Olivera, Francisco J. Rodríguez-Lera, Camino Fernández-Llamas, Francisco Martín Rico, Vicente Matellán
Publikováno v:
Frontiers in Neurorobotics, Vol 12 (2019)
Tracking people has many applications, such as security or safe use of robots. Many onboard systems are based on Laser Imaging Detection and Ranging (LIDAR) sensors. Tracking peoples' legs using only information from a 2D LIDAR scanner in a mobile ro
Externí odkaz:
https://doaj.org/article/9fd81ffc5e2b4bd4b8ddf2c8bc0fd9e5
Autor:
Miguel Á. González-Santamarta, Francisco J. Rodríguez-Lera, Vicente Matellán-Olivera, Camino Fernández-Llamas
Publikováno v:
ROBOT2022: Fifth Iberian Robotics Conference ISBN: 9783031210617
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c10290f8707c438cbc3a6f1c3d17cf57
https://doi.org/10.1007/978-3-031-21062-4_43
https://doi.org/10.1007/978-3-031-21062-4_43
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 6067 (2020)
This paper presents the evolution of a robotic architecture intended for controlling autonomous social robots. The first instance of this architecture was originally designed according to behavior-based principles. The building blocks of this archite
Externí odkaz:
https://doaj.org/article/1cb8f7576ead49deb298ad1f760cae72
Autor:
Miguel Á. González-Santamarta, Francisco J. Rodríguez-Lera, Claudia Álvarez-Aparicio, Ángel M. Guerrero-Higueras, Camino Fernández-Llamas
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 5989 (2020)
Many social robots deployed in public spaces hide hybrid cognitive architectures for dealing with daily tasks. Mostly, two main blocks sustain these hybrid architectures for robot behavior generation: deliberative and behavioral-based mechanisms. Rob
Externí odkaz:
https://doaj.org/article/8b35925245cc42709bfe5c78c20869b0
Autor:
Francisco Martín Rico, Francisco J. Rodríguez-Lera, Jonatan Ginés Clavero, Ángel Manuel Guerrero-Higueras, Vicente Matellán Olivera
Publikováno v:
Sensors, Vol 20, Iss 14, p 3912 (2020)
Socially assistive robots have been used in the care of elderly or dependent people, particularly with patients suffering from neurological diseases, like autism and dementia. There are some proposals, but there are no standardized mechanisms for ass
Externí odkaz:
https://doaj.org/article/10b7d7d330fa48a68b585e82662392ff
Publikováno v:
Applied Sciences, Vol 10, Iss 4, p 1270 (2020)
Different Machine Learning techniques to detect software vulnerabilities have emerged in scientific and industrial scenarios. Different actors in these scenarios aim to develop algorithms for predicting security threats without requiring human interv
Externí odkaz:
https://doaj.org/article/98ffad5d25ab42839a4f3bca24593668