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
Arnaud DoucetProfessor of Statistics, University of Oxford & Senior 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
Juan D. TardósProfessor of Computer Science, Universidad de Zaragoza, SpainVerified email at unizar.es
Michael MccourtResearch, SigOptVerified email at cornell.edu
José NeiraProfessor of Computer Science, Universidad de Zaragoza, SpainVerified email at unizar.es
Eric BrochuVerified email at salesforce.com
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
Manuel LopesInstituto Superior Tecnico, INESC-IDVerified email at tecnico.ulisboa.pt
Carlos SaguesFull Profesor, Universidad de ZaragozaVerified email at unizar.es
Javier CiveraUniversidad de Zaragoza, SpainVerified email at unizar.es

Ruben Martinez-Cantin

Assistant 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	319	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	278	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	277	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
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	199	2007
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	69	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	64	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	53	2018
Body schema acquisition through active learning R Martinez-Cantin, M Lopes, L Montesano 2010 IEEE international conference on robotics and automation, 1860-1866, 2010	48	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
Semantic and structural image segmentation for prosthetic vision M Sanchez-Garcia, R Martinez-Cantin, JJ Guerrero Plos one 15 (1), e0227677, 2020	40	2020
Bounding uncertainty in EKF-SLAM: The robocentric local approach R Martinez-Cantin, JA Castellanos Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006	39	2006
Funneled Bayesian optimization for design, tuning and control of autonomous systems R Martinez-Cantin IEEE transactions on cybernetics 49 (4), 1489-1500, 2018	36	2018
Bayesian optimization with adaptive kernels for robot control R Martinez-Cantin 2017 IEEE international conference on robotics and automation (ICRA), 3350-3356, 2017	29	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	20	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	12	2018
Active map learning for robots: insights into statistical consistency R Martinez-Cantin These de doctorat, University of Zaragoza, 2008	12	2008

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