Ruben Martinez-Cantin

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Jose A. CastellanosProfessor of Systems Engineering and Automation, University of ZaragozaVerified email at unizar.es
Nando de FreitasCIFAR & DeepMindVerified email at google.com
Josechu GuerreroProfessor, I3A, Universidad de ZaragozaVerified email at unizar.es
Melani Sanchez-GarcíaUniversity of California, Santa BarbaraVerified email at ucsb.edu
Juan D. TardósProfessor of Computer Science, Universidad de Zaragoza, SpainVerified email at unizar.es
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Alexandre BernardinoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaVerified email at isr.ist.utl.pt
Michael MccourtResearch & Development, DistributionalVerified email at cornell.edu
Eric BrochuVerified email at salesforce.com
José NeiraProfessor of Computer Science, Universidad de Zaragoza, SpainVerified email at unizar.es
Luis MontesanoBitBrain Technologies / Universidad de ZaragozaVerified email at unizar.es
Lorenzo JamoneSenior Lecturer (Associate Professor), Robotics, ARQ @ Queen Mary University of London.Verified email at qmul.ac.uk
Javier Garcia-BarcosPhD student, University of ZaragozaVerified email at unizar.es
José Santos-VictorInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaVerified email at isr.tecnico.ulisboa.pt
Francisco Merino-CasalloUniversidad de ZaragozaVerified email at unizar.es
José Manuel Garcia-AznarUniversity of ZaragozaVerified email at unizar.es
María José Gómez-BenitoUniversity of ZaragozaVerified email at unizar.es
Javier CiveraUniversidad de Zaragoza, SpainVerified email at unizar.es
Javier Rodríguez PuigvertUniversidad de ZaragozaVerified email at unizar.es
Manuel LopesInstituto Superior Tecnico, INESC-IDVerified email at tecnico.ulisboa.pt

Ruben Martinez-Cantin

Associate Professor, University of Zaragoza, Spain

Verified email at unizar.es - Homepage

Bayesian Optimization Machine Learning Robotics Computer Vision


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BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits. R Martinez-Cantin J. Mach. Learn. Res. 15 (1), 3735-3739, 2014	339	2014
A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot R Martinez-Cantin, N De Freitas, E Brochu, J Castellanos, A Doucet Autonomous Robots 27, 93-103, 2009	288	2009
Robocentric map joining: Improving the consistency of EKF-SLAM JA Castellanos, R Martinez-Cantin, JD Tardós, J Neira Robotics and autonomous systems 55 (1), 21-29, 2007	280	2007
Active policy learning for robot planning and exploration under uncertainty. R Martinez-Cantin, N de Freitas, A Doucet, JA Castellanos Robotics: Science and systems 3, 321-328, 2007	207	2007
Unscented SLAM for large-scale outdoor environments R Martinez-Cantin, JA Castellanos 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005	201	2005
Unscented Bayesian optimization for safe robot grasping J Nogueira, R Martinez-Cantin, A Bernardino, L Jamone 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	78	2016
Analysis of particle methods for simultaneous robot localization and mapping and a new algorithm: Marginal-slam R Martinez-Cantin, N de Freitas, JA Castellanos Proceedings 2007 IEEE international conference on robotics and automation …, 2007	63	2007
Practical Bayesian optimization in the presence of outliers R Martinez-Cantin, K Tee, M McCourt International conference on artificial intelligence and statistics, 1722-1731, 2018	58	2018
Semantic and structural image segmentation for prosthetic vision M Sanchez-Garcia, R Martinez-Cantin, JJ Guerrero Plos one 15 (1), e0227677, 2020	53	2020
Body schema acquisition through active learning R Martinez-Cantin, M Lopes, L Montesano 2010 IEEE international conference on robotics and automation, 1860-1866, 2010	49	2010
Visual map‐less navigation based on homographies JJ Guerrero, R Martinez‐Cantin, C Sagüés Journal of Robotic Systems 22 (10), 569-581, 2005	45	2005
Funneled Bayesian optimization for design, tuning and control of autonomous systems R Martinez-Cantin IEEE transactions on cybernetics 49 (4), 1489-1500, 2018	44	2018
Bounding uncertainty in EKF-SLAM: The robocentric local approach R Martinez-Cantin, JA Castellanos Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006	38	2006
Bayesian optimization with adaptive kernels for robot control R Martinez-Cantin 2017 IEEE international conference on robotics and automation (ICRA), 3350-3356, 2017	34	2017
Integration of in vitro and in silico Models Using Bayesian Optimization With an Application to Stochastic Modeling of Mesenchymal 3D Cell Migration F Merino-Casallo, MJ Gomez-Benito, Y Juste-Lanas, R Martinez-Cantin, ... Frontiers in physiology 9, 1246, 2018	23	2018
Indoor Scenes Understanding for Visual Prosthesis with Fully Convolutional Networks. M Sanchez-Garcia, R Martinez-Cantin, JJ Guerrero Visigrapp (5: Visapp), 218-225, 2019	17	2019
Adaptive scale robust segmentation for 2D laser scanner R Martinez-Cantin, JA Castellanos, JD Tardós, JMM Montiel 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006	17	2006
Gaussian mixture models for affordance learning using bayesian networks P Osório, A Bernardino, R Martinez-Cantin, J Santos-Victor 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010	16	2010
Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty J Castanheira, P Vicente, R Martinez-Cantin, L Jamone, A Bernardino 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018	14	2018
Influence of field of view in visual prostheses design: Analysis with a VR system M Sanchez-Garcia, R Martinez-Cantin, J Bermudez-Cameo, JJ Guerrero Journal of Neural Engineering 17 (5), 056002, 2020	12*	2020

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