Ernesto Fabregas

Profesor Titular de Universidad

Universidad Nacional de Educación a Distancia

Spain

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About

Ernesto Fabregas is a Profesor Titular de Universidad at the Universidad Nacional de Educación a Distancia in Spain. His research interests include cooperative formation control, deep reinforcement learning, and applications of deep learning in various domains such as robotics, astronomy, and energy prediction. He has published several articles on topics such as multi-agent mobile robotics, target tracking, and anomaly detection in spacecraft telemetry.

Articles (18)

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2025

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2024

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2024

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2023

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2022

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2022

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2021

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2021

Collaborators (4)

SERGIO ALEJANDRO VELASTIN

Universidad Carlos III de Madrid

SPAIN

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Sebastián Dormido

SPAIN

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Azim Eskandarian

Professor (Courtesy Appointment)

Virginia Polytechnic Institute and State University - Northern Virginia Center

UNITED STATES

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Sebastián Dormido-Canto

Universidad Nacional de Educación a Distancia

SPAIN

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Ernesto Fabregas

Research Interests

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Articles (18)

Cooperative Formation Control of a Multi-Agent Khepera IV Mobile Robots System Using Deep Reinforcement Learning

Deep Reinforcement Learning Applied to a Spherical Robot for Target Tracking

Explainable anomaly detection in spacecraft telemetry

Comparative Analysis of Deep Learning Methods for Fault Avoidance and Predicting Demand in Electrical Distribution

Deep Learning Models to Reduce Stray Light in TJ-II Thomson Scattering Diagnostic

Estimation of Physical Stellar Parameters from Spectral Models Using Deep Learning Techniques

Enhancing Photovoltaic Power Predictions with Deep Physical Chain Model

Mobile Robot Navigation Based on Embedded Computer Vision

Development and Control of a Real Spherical Robot

BERT for Activity Recognition Using Sequences of Skeleton Features and Data Augmentation with GAN

Conflict and Reconciliation Processes between Affective/Social Robots and Humans

Uncertainty Detection in Supervisor–Operator Audio Records of Real Electrical Network Operations

Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator

Position Control of a Mobile Robot through Deep Reinforcement Learning

Deep learning exoplanets detection by combining real and synthetic data

Human Activity Recognition by Sequences of Skeleton Features

Distributed Formation Control for Multiagent Systems Using a Fractional-Order Proportional–Integral Structure

Nuclear Fusion Pattern Recognition by Ensemble Learning

Collaborators (4)

SERGIO ALEJANDRO VELASTIN

Sebastián Dormido

Azim Eskandarian

Sebastián Dormido-Canto

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