Carlos V. Regueiro

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Roberto Iglesias RodríguezProfesor (USC)Verified email at usc.es
Senen Barro AmeneiroUniversity of Santiago de CompostelaVerified email at usc.es
Fernando E. CasadoResearch Associate, Imperial College LondonVerified email at imperial.ac.uk
Adrián Canedo-RodríguezCTO at Situm - PhD RoboticsVerified email at situm.es
Victor Alvarez SantosCEO at Situm, PhD in RoboticsVerified email at situm.es
Manuel MucientesUniversity of Santiago de Compostela (Spain)Verified email at usc.es
Manuel Fernández DelgadoUniversity of Santiago de CompostelaVerified email at usc.es
Bugarín-Diz, Alberto (ORCID: 0000-00...Centro de Investigación en Tecnoloxías Intelixentes (CiTIUS). Universidade de Santiago de CompostelaVerified email at usc.es
Eric Lopez-LopezUniversidade da CoruñaVerified email at udc.es
Xose Anton Vila SobrinoUniversity of VigoVerified email at uvigo.es
David López MorenoGround Systems Engineer, GMVVerified email at gmv.com
Abraham OteroCatedrático de la Universidad San Pablo CEU. Director del Grado de Ingeniería BiomédicaVerified email at ceu.es
Purificación CariñenaUniversidade de Santiago de CompostelaVerified email at usc.es
D. Santos-SaavedraPhD. Student (CITIUS, University of Santiago of Compostela, Spain)Verified email at usc.es
José Rodrigo Sanjurjo AmadoUniversity of A Coruña, Computer Architecture GroupVerified email at udc.es
Jesus Maria Rodriguez PresedoProfesor Titular de Universidad, Universidad de Santiago de CompostelaVerified email at usc.es
Annalisa FrancoUniversity of BolognaVerified email at unibo.it
Alessandra LuminiDepartment of Computer Science and Engineering - University of BolognaVerified email at unibo.it
Francisco Javier GarcíaUniversidad de Santiago de CompostelaVerified email at usc.es
María J. MartínUniversidade da Coruña, Centro de Investigación CITIC, Grupo de Arquitectura de ComputadoresVerified email at udc.es

Carlos V. Regueiro

Universidade da Coruña, CITIC, Computer Architecture Group

Verified email at udc.es

Mobile Robotics Reinforcement Learning SLAM Robot Vision Embedded Computing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Classifying multichannel ECG patterns with an adaptive neural network S Barro, M Fernandez-Delgado, JA Vila-Sobrino, CV Regueiro, ... IEEE Engineering in Medicine and Biology Magazine 17 (1), 45-55, 1998	139	1998
Non-iid data and continual learning processes in federated learning: A long road ahead MF Criado, FE Casado, R Iglesias, CV Regueiro, S Barro Information Fusion 88, 263-280, 2022	77	2022
Concept drift detection and adaptation for federated and continual learning FE Casado, D Lema, MF Criado, R Iglesias, CV Regueiro, S Barro Multimedia Tools and Applications, 1-23, 2022	74	2022
Feature analysis for human recognition and discrimination: Application to a person-following behaviour in a mobile robot V Alvarez-Santos, XM Pardo, R Iglesias, A Canedo-Rodriguez, ... Robotics and autonomous systems 60 (8), 1021-1036, 2012	70	2012
Using prior knowledge to improve reinforcement learning in mobile robotics DL Moreno, CV Regueiro, R Iglesias, S Barro Proc. Towards Autonomous Robotics Systems. Univ. of Essex, UK, 33, 2004	69	2004
Particle filter robot localisation through robust fusion of laser, WiFi, compass, and a network of external cameras A Canedo-Rodríguez, V Alvarez-Santos, CV Regueiro, R Iglesias, S Barro, ... Information Fusion 27, 170-188, 2016	63	2016
Gesture-based interaction with voice feedback for a tour-guide robot V Alvarez-Santos, R Iglesias, XM Pardo, CV Regueiro, ... Journal of Visual Communication and Image Representation 25 (2), 499-509, 2014	58	2014
Fuzzy temporal rules for mobile robot guidance in dynamic environments M Mucientes, R Iglesias, CV Regueiro, A Bugarín, P Cariñena, S Barro IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2001	58	2001
Landmark detection in mobile robotics using fuzzy temporal rules P Carinena, CV Regueiro, A Otero, AJ Bugarín, S Barro IEEE Transactions on Fuzzy Systems 12 (4), 423-435, 2004	54	2004
A fuzzy temporal rule-based velocity controller for mobile robotics M Mucientes, R Iglesias, CV Regueiro, A Bugarın, S Barro Fuzzy sets and systems 134 (1), 83-99, 2003	50	2003
Autonomous and fast robot learning through motivation M Rodriguez, R Iglesias, CV Regueiro, J Correa, S Barro Robotics and Autonomous Systems 55 (9), 735-740, 2007	31	2007
Omnidirectional visual SLAM under severe occlusions C Gamallo, M Mucientes, CV Regueiro Robotics and Autonomous Systems 65, 76-87, 2015	25	2015
Walking recognition in mobile devices FE Casado, G Rodríguez, R Iglesias, CV Regueiro, S Barro, ... Sensors 20 (4), 1189, 2020	24	2020
Learning on real robots from experience and simple user feedback P Quintía Vidal, R Iglesias Rodríguez, MÁ Rodríguez González, ... Red de Agentes Físicos, 2013	24	2013
Omnivision-based kld-Monte Carlo localization C Gamallo, CV Regueiro, P Quintía, M Mucientes Robotics and Autonomous Systems 58 (3), 295-305, 2010	24	2010
Incremental learning from low-labelled stream data in open-set video face recognition E Lopez-Lopez, XM Pardo, CV Regueiro Pattern Recognition 131, 108885, 2022	21	2022
Robust step counting for inertial navigation with mobile phones G Rodríguez, FE Casado, R Iglesias, CV Regueiro, A Nieto Sensors 18 (9), 3157, 2018	21	2018
Teaching digital systems in the context of the new european higher education area: a practical experience XC Pardo, MJ Martín, J Sanjurjo, CV Regueiro IEEE Transactions on Education 52 (4), 513-523, 2009	20	2009
Route learning and reproduction in a tour-guide robot V Alvarez-Santos, A Canedo-Rodriguez, R Iglesias, XM Pardo, ... Robotics and Autonomous Systems 63, 206-213, 2015	19	2015
Federated and continual learning for classification tasks in a society of devices FE Casado, D Lema, R Iglesias, CV Regueiro, S Barro arXiv preprint arXiv:2006.07129, 2020	15	2020

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