Profile (CV) of the research teaching staff

Martinez Cantin, Ruben

Department: Departamento de Informática e Ingeniería de Sistemas

Field: Ingeniería de Sistemas y Automática

Faculty: Escuela de Ingeniería y Arquitectura

Research Institute: INSTITUTO DE INVESTIGACIÓN EN INGENIERÍA DE ARAGÓN (I3A)

Group: T45_23R: Robótica, Visión por computador e Inteligencia Artificial

UNESCO codes

Inteligencia artificial
Sistemas de control
Cibernética
Programación no lineal

Academic position: Profesor contratado doctor

Email:

ORCID number: 0000-0002-6741-844X

Research interests

Métodos de optimización y diseño experimental
Aprendizaje en robótica



Sexenios regionales: 3. Periodos (2003-2008 y 2009-2014, 2015-2020). Último obtenido: 2021. Sexenios nacionales: 1. Periodos (2004-2009). Último obtenido: 2023. Tesis doctorales supervisadas: - Melani Sanchez García, Enero 2022. - Javier Rodríguez Puigvert, Diciembre 2023. Tesis en progreso. - Javier García Barcos, fecha estimada de defensa, 2024. - Lorenzo Mur Labadía, fecha estimada de defensa, 2025. - Carlos Plou Izquierdo, fecha estimada de defensa, 2026. - Carlos Martínez Mosquera Citas totales: 2044 (Google Scholar), 1011 (Scopus) Publicaciones en Revistas JCR (Q1)=4 (2 como único autor) (Q1+Q2)=10 Publicaciones JCR y GGS ranking equivalentes a Q1+Q2=27 Índice H=17 (Google Scholar), H=14 (Scopus) Journal articles Lechuz-Sierra, Juan G.; Martín, Ana Elvira H.; Sundaram, Ashok M.; Martinez-Cantín, Rubén; Roa, Máximo A. Bayesian optimization for robust robotic grasping using a sensorized compliant hand. IEEE ROBOTICS AND AUTOMATION LETTERS. 2024. DOI: 10.1109/LRA.2024.3475914 Mur-Labadia, Lorenzo; Guerrero, José J.; Martínez-Cantín, Rubén. Multi-label affordance mapping from egocentric vision. PROCEEDINGS (IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION). 2024. DOI: 10.1109/ICCV51070.2023.00483 Mur-Labadia, Lorenzo; Martinez-Cantin, Ruben; Guerrero, Jose J.; Farinella, Giovanni Maria; Furnari, Antonino. AFF-ttention! Affordances and Attention Models for Short-Term Object Interaction Anticipation. LECTURE NOTES IN COMPUTER SCIENCE. 2024. DOI: 10.1007/978-3-031-73337-6_10 Merino Casallo, F.; Gómez Benito, M. J.; Martínez Cantín, R.; García Aznar, J. M. A mechanistic protrusive-based model for 3D cell migration. EUROPEAN JOURNAL OF CELL BIOLOGY. 2022. DOI: 10.1016/j.ejcb.2022.151255 Rodriguez-Puigvert, Javier; Recasens, David; Civera, Javier; Martinez-Cantin, Ruben. On the uncertain single-view depths in colonoscopies. LECTURE NOTES IN COMPUTER SCIENCE. 2022. DOI: 10.1007/978-3-031-16437-8_13 Rodriguez-Puigvert, J.; Martinez-Cantin, R.; Civera Sancho, J. Bayesian Deep Neural Networks for Supervised Learning of Single-View Depth. IEEE ROBOTICS AND AUTOMATION LETTERS. 2022. DOI: 10.1109/LRA.2022.3142915 Garcia-Barcos, J.; Martinez-Cantin, R. Robust Policy Search for Robot Navigation. IEEE ROBOTICS AND AUTOMATION LETTERS. 2021. DOI: 10.1109/LRA.2021.3060408 Sanchez-Garcia, M.; Martinez-Cantin, R.; Guerrero, J. J. Semantic and structural image segmentation for prosthetic vision. PLOS ONE. 2020. DOI: 10.1371/journal.pone.0227677 Sanchez-Garcia, M.; Martinez-Cantin, R.; Bermudez-Cameo, J.; Guerrero, J.J. Influence of field of view in visual prostheses design: Analysis with a VR system. JOURNAL OF NEURAL ENGINEERING. 2020. DOI: 10.1088/1741-2552/abb9be Garcia-Barcos, J.; Martinez-Cantin, R. Fully distributed Bayesian optimization with stochastic policies. IJCAI INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE. 2019. DOI: 10.24963/ijcai.2019/327 Castanheira, Joao; Vicente, Pedro; Martinez Cantin, Ruben; Jamone, Lorenzo; Bernardino, Alexandre. Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty. PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS. 2019. DOI: 10.1109/IROS.2018.8594009 Martinez Cantin, Ruben. Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems. IEEE TRANSACTIONS ON CYBERNETICS. 2019. DOI: 10.1109/TCYB.2018.2805695 Merino-Casallo, F.; Gomez-Benito, M.J.; Juste-Lanas, Y.; Martinez-Cantin, R.; Garcia-Aznar, J.M. Integration of in vitro and in silico Models Using Bayesian Optimization With an Application to Stochastic Modeling of Mesenchymal 3D Cell Migration. FRONTIERS IN PHYSIOLOGY. 2018. DOI: 10.3389/fphys.2018.01246 Martinez Cantin, Ruben; Tee, Kevin; Mccourt, Michael. Practical Bayesian optimization in the presence of outliers. PROCEEDINGS OF MACHINE LEARNING RESEARCH. 2018 Martinez-Cantin, R. Bayesian optimization with adaptive kernels for robot control. PROCEEDINGS - IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION. 2017. DOI: 10.1109/ICRA.2017.7989380 Nogueira, J.; Martinez-Cantin, R.; Bernardino, A.; Jamone, L. Unscented Bayesian optimization for safe robot grasping. PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS. 2016. DOI: 10.1109/IROS.2016.7759310 Martinez-Cantin, R. BayesOpt: A Bayesian optimization library for nonlinear optimization, experimental design and bandits. JOURNAL OF MACHINE LEARNING RESEARCH. 2014 Osório, Pedro; Bernardino, A; Martinez-Cantin, R; Santos-Victor, José. Gaussian mixture models for affordance learning using Bayesian Networks. PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS. 2010. DOI: 10.1109/IROS.2010.5650297 Martinez-Cantin, Ruben; Lopes, Manuel; Montesano, Luis. Body schema acquisition through active learning. IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION. 2010. DOI: 10.1109/ROBOT.2010.5509406 Martinez-Cantin, R.;de Freitas,N.;Brochu,E.;Castellanos,J.;Doucet,A. A Bayesian Exploration-Exploitation Approach for Optimal Online Sensing and Planning with a Visually Guided Mobile Robot. AUTONOMOUS ROBOTS. 2009 Castellanos, J. A.;Martinez-Cantin,R.;Tardos,J. D.;Neira,J. Robocentric Map Joining: Improving the Consistency of EKF-SLAM. ROBOTICS AND AUTONOMOUS SYSTEMS. 2007 Martinez-Cantin, R.;de Freitas,N.;Castellanos,J. A. Analysis of Particle Methods for Simultaneous Robot Localization and Mapping and a New Algorithm: Marginal-SLAM. PROCEEDINGS - IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION. 2007 Martínez Cantín, Rubén; de Freitas, Nando; Castellanos, Jose; Doucet, Arnaud. Active policy learning for robot planning and exploration under uncertainty. ROBOTICS: SCIENCE AND SYSTEMS PROCEEDINGS. 2007. DOI: 10.15607/RSS.2007.III.041 Martinez-Cantin, R. ; Castellanos, J.A. ; Tardos, J.D. ; Montiel, J.M.M. Adaptive Scale Robust Segmentation for 2D Laser Scanner. PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS. 2006. DOI: 10.1109/IROS.2006.281671 Martinez-Cantin, R.; Castellanos, J.A. Bounding uncertainty in EKF-SLAM: the robocentric local approach. IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION. 2006. DOI: 10.1109/ROBOT.2006.1641749 Guerrero, J. J.; Martinez-Cantin, R.; Sagues, C. Visual Map-Less Navigation Based on Homographies. JOURNAL OF ROBOTIC SYSTEMS. 2005. DOI: 10.1002/rob.20077 Martinez-Cantin, R.; Castellanos, J.A. Unscented SLAM for large-scale outdoor environments. PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS. 2005. DOI: 10.1109/IROS.2005.1545002 Conference presentations Rodríguez-Puigvert, Javier; Batlle, Víctor M.; Martínez Montiel, J.M.; Martinez-Cantin, Ruben; Fua, Pascal; Tardós, Juan D.; Civera, Javier. LightDepth: Single-view depth self-supervision from illumination decline. PROCEEDINGS (IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION). 2024. DOI: 10.1109/ICCV51070.2023.01945 Mur-Labadia, Lorenzo; Martinez-Cantin, Rubén; Guerrero, José J. Bayesian deep learning for affordance segmentation in images. PROCEEDINGS - IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION. 2023. DOI: 10.1109/ICRA48891.2023.10160606 Morilla-Cabello, David; Mur-Labadia, Lorenzo; Martinez-Cantin, Ruben; Montijano, Eduardo. Robust fusion for bayesian semantic mapping. PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS. 2023. DOI: 10.1109/IROS55552.2023.10342253 PhD supervision Uncertainty and Self-Supervision in Single-View Depth. Universidad de Zaragoza. Sobresaliente. 21/12/23 Egocentric Computer Vision and Machine Learning for Simulated Prosthetic Vision. Universidad de Zaragoza. Sobresaliente cum laude. 13/01/22 Supervision of final year projects OPTIMIZACION DE ALGORITMOS DE SLAM MEDIANTE LA UTILIZACION DE TECNICAS DE MONTE CARLO. Universidad de Zaragoza. SOBRESALIENTE. 23/09/08 Supervision of undergraduate dissertations Optimización bayesiana para el control de robots. Universidad de Zaragoza. Aprobado. 03/10/22 Evaluación de algoritmos aprendizaje por refuerzo profundo con un motor físico. Universidad de Zaragoza. Notable. 08/10/21 PROCEDIMIENTO DE PROTECCIÓN DE LAS COPIAS DE SEGURIDAD DE SIMACET. Universidad de Zaragoza. Aprobado. 05/06/19 Implementación del Simulador VBS2 para las Pequeñas Unidades. Universidad de Zaragoza. Aprobado. 15/01/19 EMPLEO TÁCTICO UAV EN UNIDADES DE MONTAÑA. Universidad de Zaragoza. Notable. 02/06/17 DISEÑO DE UN ROBOT PORTATIL PARA MISIONES EOR. Universidad de Zaragoza. Notable. 19/05/17 Simulación vs Livex. Eficiencia de los simuladores en el ámbito de la instrucción. Universidad de Zaragoza. Sobresaliente. 18/12/15 OPTIMIZACIÓN BAYESIANA APLICADA A LA SIMULACIÓN DE FLUIDOS. Universidad de Zaragoza. Notable. 06/10/15 Proyecto de un aula basada en Windows Server 2012. Universidad de Zaragoza. Notable. 01/12/14 Implantación de medios digitales y modernización de los sistemas de divulgación enfocados al visitante del Museo Histórico de Sevilla. Universidad de Zaragoza. Notable. 01/12/14 Supervision of master's theses GPianoroll: a Deep Learning System with Human Feedback for Music Generation. Universidad de Zaragoza. Matrícula de honor. 07/02/24 Optimización bayesiana para agarre robótico robusto. Universidad de Zaragoza. Sobresaliente. 03/11/23 Analysis of linearization methods for Bayesian Deep Learning. Universidad de Zaragoza. Matrícula de honor. 23/06/23 Multisolution Bayesian optimization for robotic manipulation tasks. Universidad de Zaragoza. Matrícula de honor. 13/02/23 Control de robots con deep reinforcement learning. Universidad de Zaragoza. Notable. 13/12/21 Deep learning para segmentación celular de imagen. Universidad de Zaragoza. Sobresaliente. 09/07/21 Aprendizaje automático para conducción autónoma. Universidad de Zaragoza. Notable. 17/12/20 Aprendizaje reforzado para agarre y manipulación de robots. Universidad de Zaragoza. Sobresaliente. 16/12/20 Creación de un entorno visual de visión protésica. Universidad de Zaragoza. Sobresaliente. 16/12/20 Sistema de asistencia a la navegación humana basado en la cámara de eventos. Universidad de Zaragoza. Sobresaliente. 11/07/19 EXTRACCIÓN AUTOMÁTICA DE MATERIALES A PARTIR DE FOTOGRAFÍAS MEDIANTE OPTIMIZACIÓN BAYESIANA. Universidad de Zaragoza. SOBRESALIENTE. 06/10/17 UNIZAR teaching of the last six courses Applications of deep learning. Máster Universitario en Robótica, Gráficos y Visión por Computador / Robotics, Graphics and Computer Vision. From the 2020-21 course to the 2024-25 course Machine learning. Máster Universitario en Robótica, Gráficos y Visión por Computador / Robotics, Graphics and Computer Vision. From the 2020-21 course to the 2024-25 course Automatic control systems. Bachelor's Degree in Mechanical Engineering. From the 2019-20 course to the 2024-25 course Intelligent systems. Master's Degree in Informatics Engineering. From the 2019-20 course to the 2024-25 course Control engineering. Master's in Industrial Engineering. During academic year 2019-20 Control engineering. During academic year 2019-20 Control engineering. During academic year 2019-20 Control engineering. During academic year 2019-20 Automatic control systems. Bachelor's Degree in Chemical Engineering. During academic year 2019-20