Improving the 3D positioning for low cost mobile robots - Socas, R.; Dormido, S.; Dormido, R.; Fabregas, E. (Lecture Notes in Electrical Engineering, 2016)

Event-based control strategy for mobile robots in wireless environments - Socas, R.; Dormido, S.; Dormido, R.; Fabregas, E. (Sensors (Switzerland), 2015)

Virtual Laboratory of the Ball and Plate System - Fabregas, E.; Chacón, J.; Dormido-Canto, S.; Farias, G.; Dormido, S. (IFAC-PapersOnLine, 2015)

A mobile robots experimental environment with event-based wireless communication - Guinaldo, M.; Fábregas, E.; Farias, G.; Dormido-Canto, S.; Chaos, D.; Sánchez, J.; Dormido, S. (Sensors (Switzerland), 2013)

A remote laboratory as an innovative educational tool for practicing control engineering concepts - Ionescu, C.M.; Fabregas, E.; Cristescu, S.M.; Dormido, S.; De Keyser, R. (IEEE Transactions on Education, 2013)

An interactive simulator for networked mobile robots - Guinaldo, M.; Farias, G.; Fabregas, E.; Sánchez, J.; Dormido-Canto, S.; Dormido, S. (IEEE Network, 2012)

Developing a remote laboratory for engineering education - Fabregas, E.; Farias, G.; Dormido-Canto, S.; Dormido, S.; Esquembre, F. (Computers and Education, 2011)

A remote laboratory for mobile robot applications - Neam?u, D.V.; Fabregas, E.; Wyns, B.; De Keyser, R.; Dormido, S.; Ionescu, C.M. (IFAC Proceedings Volumes (IFAC-PapersOnline), 2011)

Virtual and remote experimentation with the Ball and Hoop system - Fabregas, E.; Duro, N.; Dormido, R.; Dormido-Canto, S.; Vargas, H.; Dormido, S. (ETFA 2009 - 2009 IEEE Conference on Emerging Technologies and Factory Automation, 2009)

Reinforcement Learning for Position Control Problem of a Mobile Robot - Farias, G.; Garcia, G.; Montenegro, G.; Fabregas, E.; Dormido-Canto, S.; Dormido, S. (IEEE Access, 2020)

A distributed vision-based navigation system for khepera iv mobile robots - Farias, G.; Fabregas, E.; Torres, E.; Bricas, G.; Dormido-Canto, S.; Dormido, S. (Sensors (Switzerland), 2020)

Simulation and Experimental Results of a New Control Strategy for Point Stabilization of Nonholonomic Mobile Robots - Fabregas, E.; Farias, G.; Aranda-Escolástico, E.; Garcia, G.; Chaos, D.; Dormido-Canto, S.; Bencomo, S.D. (IEEE Transactions on Industrial Electronics, 2020)

Automatic recognition of anomalous patterns in discharges by recurrent neural networks - Farias, G.; Fabregas, E.; Dormido-Canto, S.; Vega, J.; Vergara, S. (Fusion Engineering and Design, 2020)

Navigation control of the Khepera IV model with OpenCV in V-REP simulator - Farias, G.; Torres, E.; Fabregas, E.; Vargas, H.; Dormido-Canto, S.; Dormido, S. (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings, 2019)

Clasificador de noticias usando autoencoders - Farias, G.; Vergara, S.; Fabregas, E.; Hermosilla, G.; Dormido-Canto, S.; Dormido, S. (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings, 2019)

Automatic control for the production of alginate by azotobacter vinelandii - Farias, G.; Fabregas, E.; Diaz-Barrera, A.; Ponce, B.; Castro, C.; Dormido-Canto, S. (IEEE Access, 2019)

Development of an Easy-to-Use Multi-Agent Platform for Teaching Mobile Robotics - Farias, G.; Fabregas, E.; Peralta, E.; Vargas, H.; Dormido-Canto, S.; Dormido, S. (IEEE Access, 2019)

Software parallelization of a probabilistic classifier based on Venn Prediction: Application to the TJ-II Thomson Scattering - Martínez, F.J.; Vega, J.; Dormido-Canto, S.; Pastor, I.; Fabregas, E.; Farias, G. (Fusion Engineering and Design, 2018)

Image classification by using a reduced set of features in the TJ-II Thomson Scattering diagnostic - Farias, G.; Dormido-Canto, S.; Vega, J.; Martínez, I.; Hermosilla, G.; Fabregas, E. (Fusion Engineering and Design, 2018)

Online Virtual Control Laboratory of Mobile Robots - Galán, D.; Fabregas, E.; Garcia, G.; Sáenz, J.; Farias, G.; Dormido-Canto, S.; Dormido, S. (IFAC-PapersOnLine, 2018)

Applying Deep Learning for Improving Image Classification in Nuclear Fusion Devices - Farias, G.; Fabregas, E.; Dormido-Canto, S.; Vega, J.; Vergara, S.; Bencomo, S.D.; Pastor, I.; Olmedo, A. (IEEE Access, 2018)

Virtual and Remote Laboratory with the Ball and Plate System - Fabregas, E.; Dormido-Canto, S.; Dormido, S. (IFAC-PapersOnLine, 2017)

Teaching Control supported by Virtual Labs under a Competency-based curriculum - Vargas, H.; De La Torre, L.; Chacón, J.; Heradio, R.; Farías, G.; Fabregas, E.; Sanchez, J.; Dormido, S. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, 2018)

Teaching control in mobile robotics with V-REP and a Khepera IV library - Fabregas, E.; Farias, G.; Peralta, E.; Vargas, H.; Dormido, S. (2016 IEEE Conference on Control Applications, CCA 2016, 2016)

Development of a Khepera IV Library for the V-REP Simulator - Peralta, E.; Fabregas, E.; Farias, G.; Vargas, H.; Dormido, S. (IFAC-PapersOnLine, 2016)

A Khepera IV library for robotic control education using V-REP - Farias, G.; Fabregas, E.; Peralta, E.; Torres, E.; Dormido, S. (IFAC-PapersOnLine, 2017)

Two mobile robots platforms for experimentation: comparison and synthesis - Fabregas, E.; Farias, G.; Peralta, E.; Sánchez, J.; Dormido, S. (ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics, 2017)

A neural network approach for building an obstacle detection model by fusion of proximity sensors data - Farias, G.; Fabregas, E.; Peralta, E.; Vargas, H.; Hermosilla, G.; Garcia, G.; Dormido, S. (Sensors (Switzerland), 2018)

Modeling and multivariable analysis of a flotation column system - Castro, C.; Vargas, H.; Farias, G.; Fabregas, E.; Aracena, A.; Morales, J. (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings, 2019)

Automatic Recognition of Anomalous Patterns in Discharges by Applying Deep Learning - Farias, G.; Fabregas, E.; Dormido-Canto, S.; Vega, J.; Vergara, S. (Fusion Science and Technology, 2020)

Comparative Study of Traditional, Simulated and Real Online Remote Laboratory: Student' Perceptions in Technical Training of Electronics - Taj, A.M.; Fabregas, E.; Abouhilal, A.; Taifi, N.; Malaoui, A. (International journal of online and biomedical engineering, 2021)

Fall Detection and Activity Recognition Using Human Skeleton Features - Ramirez, H.; Velastin, S.A.; Meza, I.; Fabregas, E.; Makris, D.; Farias, G. (IEEE Access, 2021)

Nuclear Fusion Pattern Recognition by Ensemble Learning - Farias, G.; Fabregas, E.; Martínez, I.; Vega, J.; Dormido-Canto, S.; Vargas, H. (Complexity, 2021)

Fall detection using human skeleton features - Ramirez, H.; Velastin, S.A.; Fabregas, E.; Meza, I.; Makris, D.; Farias, G. (IET Conference Publications, 2021)

Position control of a mobile robot using reinforcement learning - Farias, G.; Garcia, G.; Montenegro, G.; Fabregas, E.; Dormido-Canto, S.; Dormido, S. (IFAC-PapersOnLine, 2020)

Distributed Formation Control for Multiagent Systems Using a Fractional-Order Proportional-Integral Structure - Cajo, R.; Guinaldo, M.; Fabregas, E.; Dormido, S.; Plaza, D.; De Keyser, R.; Ionescu, C. (IEEE Transactions on Control Systems Technology, 2021)

Human Activity Recognition by Sequences of Skeleton Features - Ramirez, H.; Velastin, S.A.; Aguayo, P.; Fabregas, E.; Farias, G. (Sensors, 2022)

Position Control of a Mobile Robot through Deep Reinforcement Learning - Quiroga, F.; Hermosilla, G.; Farias, G.; Fabregas, E.; Montenegro, G. (Applied Sciences (Switzerland), 2022)

Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator - Montenegro, G.; Chacón, R.; Fabregas, E.; Garcia, G.; Schröder, K.; Marroquín, A.; Dormido-Canto, S.; Farias, G. (Sensors, 2022)

Deep learning exoplanets detection by combining real and synthetic data - Cuéllar, S.; Granados, P.; Fabregas, E.; Curé, M.; Vargas, H.; Dormido-Canto, S.; Farias, G. (PLoS ONE, 2022)

Preliminary results with BERT for human activity recognition using skeleton sequences features - Ramirez, H.; Velastin, S.A.; Fabregas, E.; Farias, G. (2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022, 2022)

BERT for Activity Recognition Using Sequences of Skeleton Features and Data Augmentation with GAN - Ramirez, H.; Velastin, S.A.; Cuellar, S.; Fabregas, E.; Farias, G. (Sensors (Basel, Switzerland), 2023)

Development and Control of a Real Spherical Robot - Schröder, K.; Garcia, G.; Chacón, R.; Montenegro, G.; Marroquín, A.; Farias, G.; Dormido-Canto, S.; Fabregas, E. (Sensors, 2023)

Mobile Robot Navigation Based on Embedded Computer Vision - Marroquín, A.; Garcia, G.; Fabregas, E.; Aranda-Escolástico, E.; Farias, G. (Mathematics, 2023)

Conflict and Reconciliation Processes Between Affective/Social Robots and Humans - Alvarez-Pardo, G.; Fabregas, E. (IEEE Access, 2023)

Uncertainty Detection in Supervisor?Operator Audio Records of Real Electrical Network Operations - Acevedo, J.; Garcia, G.; Ramirez, R.; Fabregas, E.; Hermosilla, G.; Dormido-Canto, S.; Farias, G. (Electronics (Switzerland), 2024)

Deep Learning Models to Reduce Stray Light in TJ-II Thomson Scattering Diagnostic - Correa, R.; Farias, G.; Fabregas, E.; Dormido-Canto, S.; Pastor, I.; Vega, J. (Sensors, 2024)

Explainable anomaly detection in spacecraft telemetry - Cuéllar, S.; Santos, M.; Alonso, F.; Fabregas, E.; Farias, G. (Engineering Applications of Artificial Intelligence, 2024)

Platform for Teaching Mobile Robotics - Fabregas, Ernesto; Farias, Gonzalo; Dormido-Canto, Sebastián; Guinaldo, María; Sánchez, José; Dormido Bencomo, Sebastián (Journal of Intelligent & Robotic Systems, 2015)

Comparative Analysis of Deep Learning Methods for Fault Avoidance and Predicting Demand in Electrical Distribution - Schröder, K.; Farias, G.; Dormido-Canto, S.; Fabregas, E. (Energies, 2024)

Enhancing Photovoltaic Power Predictions with Deep Physical Chain Model - Dormido-Canto, S.; Rohland, J.; López, M.; Garcia, G.; Fabregas, E.; Farias, G. (Algorithms, 2024)

Estimation of Physical Stellar Parameters from Spectral Models Using Deep Learning Techniques - Olivares, E.; Curé, M.; Araya, I.; Fabregas, E.; Arcos, C.; Machuca, N.; Farias, G. (Mathematics, 2024)

Cooperative Formation Control of a Multi-Agent Khepera IV Mobile Robots System Using Deep Reinforcement Learning - Garcia, G.; Eskandarian, A.; Fabregas, E.; Vargas, H.; Farias, G. (Applied Sciences (Switzerland), 2025)

Deep Reinforcement Learning Applied to a Spherical Robot for Target Tracking - Escorza,O.; Garcia,G.; Fabregas,E.; Velastin,S.A.; Eskandarian,A.; Farias,G. (IEEE Transactions on Industrial Electronics, 2025)

Desarrollo de un entorno colaborativo para aplicaciones de fusión - Chacón, Jesús; Fabregas, Ernesto; Dormido-Canto, Sebastián; Vega, Jesús; Sánchez, Jose (Actas de las XXXVII Jornadas de Automática 7, 8 y 9 de septiembre de 2016, Madrid, 2022)

A data-driven approach to estimate plasma density in TJ-II stellarator - Aguayo,P.; Farias,G.; González-Ganzábal,A.; Fabregas,E.; Estrada,T.; van Milligen,B.; Baciero,A.; López-Miranda,B.; Medina,F.; Rattá Gutiérrez,G.A. (Fusion Engineering and Design, 2026)