Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Cipriano Galindo"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
Robotic telepresence is an emerging technology with a great potential in applications such as elder assistance, telework, and surveillance. It relies on a combination of information and communication technologies and mobile robotics to provide a pers
Externí odkaz:
https://doaj.org/article/733a9d871590453d8881be33c0787c5f
Autor:
Francisco-Angel Moreno, Javier Monroy, Jose-Raul Ruiz-Sarmiento, Cipriano Galindo, Javier Gonzalez-Jimenez
Publikováno v:
Sensors, Vol 20, Iss 1, p 240 (2019)
In domestic robotics, passing through narrow areas becomes critical for safe and effective robot navigation. Due to factors like sensor noise or miscalibration, even if the free space is sufficient for the robot to pass through, it may not see enough
Externí odkaz:
https://doaj.org/article/1a9250d5a7bf4adfa97f8c11a3b6fd92
Autor:
Javier Monroy, Jose-Raul Ruiz-Sarmiento, Francisco-Angel Moreno, Cipriano Galindo, Javier Gonzalez-Jimenez
Publikováno v:
Sensors, Vol 19, Iss 16, p 3488 (2019)
Olfaction is a valuable source of information about the environment that has not been sufficiently exploited in mobile robotics yet. Certainly, odor information can contribute to other sensing modalities, e.g., vision, to accomplish high-level robot
Externí odkaz:
https://doaj.org/article/cbf4f2772b3b4ad9b5226b239aa4c600
Autor:
Javier Monroy, Jose-Raul Ruiz-Sarmiento, Francisco-Angel Moreno, Francisco Melendez-Fernandez, Cipriano Galindo, Javier Gonzalez-Jimenez
Publikováno v:
Sensors, Vol 18, Iss 12, p 4174 (2018)
This paper addresses the localization of a gas emission source within a real-world human environment with a mobile robot. Our approach is based on an efficient and coherent system that fuses different sensor modalities (i.e., vision and chemical sens
Externí odkaz:
https://doaj.org/article/020404c37dd2441cb3fd0c43fe29c986
Autor:
Matteo Luperto, Javier Monroy, Francisco-Angel Moreno, Francesca Lunardini, Jennifer Renoux, Andrej Krpic, Cipriano Galindo, Simona Ferrante, Nicola Basilico, Javier Gonzalez-Jimenez, N. Alberto Borghese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5191d5caa2f31155380258e93ab65dd6
https://hdl.handle.net/11311/1227877
https://hdl.handle.net/11311/1227877
Publikováno v:
IEEE Transactions on Education. 63:224-231
Contribution: There exist software tools designed for professional or research purposes that may serve for grounding the learning of real-time scheduling within introductory courses. This article contributes with a hardware and software infrastructur
Autor:
Ana Cruz-Martín, Juan-Antonio Fernández-Madrigal, Javier Monroy, Vicente Arévalo-Espejo, Cipriano Galindo-Andrades, Carlos Sanchez-Garrido, Andres Gongora, Javier Fernández-Cañete
Publikováno v:
ICERI Proceedings.
Universidad de Malaga. Campus de Excelencia Internacional Andalucia Tech. This work has been supported by the University of Malaga (Spain) through the educational innovation project PIE-15-093 “Innovacion en el trabajo en laboratorio de una diversi
Autor:
Jose-Raul Ruiz-Sarmiento, Martin Günther, Cipriano Galindo, Javier Gonzalez-Jimenez, Joachim Hertzberg
Publikováno v:
Robotics and Autonomous Systems. 110:12-32
A world model representing the elements in a robot’s environment needs to maintain a correspondence between the objects being observed and their internal representations, which is known as the anchoring problem. Anchoring is a key aspect for an int
Publikováno v:
International Journal of Approximate Reasoning. 83:434-451
Probabilistic Graphical Models (PGMs) in general, and Undirected Graphical Models (UGMs) in particular, become suitable frameworks to capture and conveniently model the uncertainty inherent in a variety of problems. When applied to real world applica
Publikováno v:
Knowledge-Based Systems. 119:257-272
A probabilistic stance is proposed for tackling the symbol grounding problem.The outcome of such grounding is accommodated in a novel semantic map representation.This semantic map considers different interpretations of the robot workspace.A more cohe