Listar por autor "Castellano Quero, Manuel"
Mostrando ítems 1-6 de 6
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A multidimensional Bayesian architecture for real-time anomaly detection and recovery in mobile robot sensory systems
Castellano Quero, Manuel; Castillo-López, Manuel; Fernández-Madrigal, Juan Antonio
; Arévalo-Espejo, Vicente Manuel; Voos, Holger; García-Cerezo, Alfonso José[et al.] (Elsevier, 2023)
For mobile robots to operate in an autonomous and safe manner they must be able to adequately perceive their environment despite challenging or unpredictable conditions in their sensory apparatus. Usually, this is addressed ... -
Hacia la diagnosis y fusión de sensores robóticos a bajo nivel mediante inferencia en redes bayesianas
Castellano Quero, Manuel; Fernández-Madrigal, Juan Antonio; García-Cerezo, Alfonso José (2018-09-13)
Las implementaciones existentes en la actualidad sobre sensores virtuales no emplean un marco comun matematicamente riguroso. Por ello, en este trabajo tenemos como objetivo homogeneizar el soporte teorico de los sensores ... -
Improving Bayesian inference efficiency for sensory anomaly detection and recovery in mobile robots.
Castellano Quero, Manuel; Fernández-Madrigal, Juan Antonio; García-Cerezo, Alfonso José (Elsevier, 2021)
For mobile robots to operate in real environments, it is essential that basic tasks such as localization, mapping and navigation are performed properly. These tasks strongly rely on an adequate perception of the environment, ... -
Inference Over Bayesian Networks for the Diagnosis and Sensory Enhancement of Mobile Robots
(UMA Editorial, 2022-01-24)Mobile robots are nowadays present in countless real-world applications, aiding or substituting human beings in a wide variety of tasks related to scopes as diverse as industrial, military, medical, educational and many ... -
Integrating Multiple Sources of Knowledge for the Intelligent Detection of Anomalous Sensory Data in a Mobile Robot
For service robots to expand in everyday scenarios they must be able to identify and manage abnormal situations intelligently. In this paper we work at a basic sensor level, by dealing with raw data produced by diverse ... -
Project Summary: TRUST-ROB, Towards Resilient UGV and UAV Manipulator Teams For Robotic Search and Rescue Tasks
García-Cerezo, Alfonso José; Mandow, Anthony; Bravo-Arrabal, Juan; Cruz, A; Castellano Quero, Manuel; Fernández-Lozano, Juan Jesús; Gandarias, Juan Manuel; Gómez-de-Gabriel, Jesús Manuel; Gómez Ruiz, J.A.; Martínez, JL; Martínez-Sánchez, María Alcázar; Miranda-Páez, Jesús; Morales, J; Muñoz-Ramírez, Antonio José; Pastor-Martín, Francisco; Reina-Terol, Antonio Jesús; Sánchez, JR; Serón-Barba, Javier; Toscano-Moreno, Manuel; Vázquez-Martín, Ricardo; Zambrana-Moral, Patricia[et al.] (2022)
This Project Summary paper reviews the main contributions and lessons learned from the TRUST-ROB project: “Towards Resilient UGV and UAV Manipulator Teams for Robotic Search and Rescue Tasks”, which has been developed ...