Integrating Multiple Sources of Knowledge for the Intelligent Detection of Anomalous Sensory Data in a Mobile Robot. - Manuel Castellano-Quero; Juan-Antonio Fernández-Madrigal; Alfonso J. García-Cerezo (ROBOT (2), 2019)

Statistical Study of the Performance of Recursive Bayesian Filters with Abnormal Observations from Range Sensors. - Manuel Castellano-Quero; Juan-Antonio Fernández-Madrigal; Alfonso J. García-Cerezo (Sensors, 2020)

Improving Bayesian inference efficiency for sensory anomaly detection and recovery in mobile robots. - Manuel Castellano-Quero; Juan-Antonio Fernández-Madrigal; Alfonso García-Cerezo (Expert Syst. Appl., 2021)

CorAl: Introspection for robust radar and lidar perception in diverse environments using differential entropy. - Daniel Adolfsson; Manuel Castellano-Quero; Martin Magnusson 002; Achim J. Lilienthal; Henrik Andreasson (Robotics Auton. Syst., 2022)

A multidimensional Bayesian architecture for real-time anomaly detection and recovery in mobile robot sensory systems. - Manuel Castellano-Quero; Manuel Castillo-López; Juan-Antonio Fernández-Madrigal; Vicente Arévalo-Espejo; Holger Voos; Alfonso García-Cerezo (Eng. Appl. Artif. Intell., 2023)