Ruben Martinez-Cantin

According to our database, Ruben Martinez-Cantin authored at least 39 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation.

Carlos Plou, Ana C. Murillo, Ruben Martinez-Cantin

CoRR, 2024

EventSleep: Sleep Activity Recognition with Event Cameras.

Carlos Plou, Nerea Gallego, Alberto Sabater, Eduardo Montijano, Pablo Urcola, Luis Montesano, Ruben Martinez-Cantin, Ana C. Murillo

CoRR, 2024

2023

Robust Fusion for Bayesian Semantic Mapping.

David Morilla-Cabello, Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Eduardo Montijano

IROS, 2023

Bayesian deep learning for affordance segmentation in images.

Lorenzo Mur-Labadia, Ruben Martinez-Cantin, José Jesús Guerrero

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

LightDepth: Single-View Depth Self-Supervision from Illumination Decline.

Javier Rodriguez Puigvert, Victor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin, Pascal Fua, Juan D. Tardós, Javier Civera

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-label affordance mapping from egocentric vision.

Lorenzo Mur-Labadia, Josechu J. Guerrero, Ruben Martinez-Cantin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Bayesian Deep Neural Networks for Supervised Learning of Single-View Depth.

Javier Rodriguez Puigvert, Ruben Martinez-Cantin, Javier Civera

IEEE Robotics Autom. Lett., 2022

Assessing visual acuity in visual prostheses through a virtual-reality system.

Melani Sanchez-Garcia, Roberto Morollón Ruiz, Ruben Martinez-Cantin, José Jesús Guerrero, Eduardo Fernández-Jover

CoRR, 2022

On the Uncertain Single-View Depths in Colonoscopies.

Javier Rodriguez Puigvert, David Recasens, Javier Civera, Ruben Martinez-Cantin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Robust Policy Search for Robot Navigation.

Javier Garcia-Barcos, Ruben Martinez-Cantin

IEEE Robotics Autom. Lett., 2021

On the Uncertain Single-View Depths in Endoscopies.

Javier Rodriguez Puigvert, David Recasens, Javier Civera, Ruben Martinez-Cantin

CoRR, 2021

Augmented reality navigation system for visual prosthesis.

Melani Sanchez-Garcia, Alejandro Pérez-Yus, Ruben Martinez-Cantin, José Jesús Guerrero

CoRR, 2021

Bayesian deep learning of affordances from RGB images.

Lorenzo Mur-Labadia, Ruben Martinez-Cantin

CoRR, 2021

Bayesian Deep Networks for Supervised Single-View Depth Learning.

Javier Rodriguez Puigvert, Ruben Martinez-Cantin, Javier Civera

CoRR, 2021

2020

Robust Policy Search for Robot Navigation with Stochastic Meta-Policies.

Javier Garcia-Barcos, Ruben Martinez-Cantin

CoRR, 2020

2019

Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems.

Ruben Martinez-Cantin

IEEE Trans. Cybern., 2019

Indoor Scenes Understanding for Visual Prosthesis with Fully Convolutional Networks.

Melani Sanchez-Garcia, Ruben Martinez-Cantin, José Jesús Guerrero

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Fully Distributed Bayesian Optimization with Stochastic Policies.

Javier Garcia-Barcos, Ruben Martinez-Cantin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Structural and object detection for phosphene images.

Melani Sanchez-Garcia, Ruben Martinez-Cantin, Josechu J. Guerrero

CoRR, 2018

Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty.

João Castanheira, Pedro Vicente, Ruben Martinez-Cantin, Lorenzo Jamone, Alexandre Bernardino

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Practical Bayesian optimization in the presence of outliers.

Ruben Martinez-Cantin, Kevin Tee, Michael McCourt

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Active Preference Learning for Personalized Portfolio Construction.

Kevin Tee, Michael McCourt, Ruben Martinez-Cantin, Ian Dewancker, Frank Liu

CoRR, 2017

Robust Bayesian Optimization with Student-t Likelihood.

Ruben Martinez-Cantin, Michael McCourt, Kevin Tee

CoRR, 2017

Bayesian optimization with adaptive kernels for robot control.

Ruben Martinez-Cantin

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Unscented Bayesian optimization for safe robot grasping.

José Nogueira, Ruben Martinez-Cantin, Alexandre Bernardino, Lorenzo Jamone

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Local Nonstationarity for Efficient Bayesian Optimization.

Ruben Martinez-Cantin

CoRR, 2015

2014

BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits.

Ruben Martinez-Cantin

J. Mach. Learn. Res., 2014

2013

BayesOpt: A Library for Bayesian optimization with Robotics Applications.

Ruben Martinez-Cantin

CoRR, 2013

2012

On the Performance of Maximum Likelihood Inverse Reinforcement Learning

Héctor Ratia, Luis Montesano, Ruben Martinez-Cantin

CoRR, 2012

2010

Gaussian mixture models for affordance learning using Bayesian Networks.

Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin, José Santos-Victor

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Body schema acquisition through active learning.

Ruben Martinez-Cantin, Manuel Lopes, Luis Montesano

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot.

Ruben Martinez-Cantin, Nando de Freitas, Eric Brochu, José A. Castellanos, Arnaud Doucet

Auton. Robots, 2009

2007

Robocentric map joining: Improving the consistency of EKF-SLAM.

José A. Castellanos, Ruben Martinez-Cantin, Juan D. Tardós, José Neira

Robotics Auton. Syst., 2007

Active Policy Learning for Robot Planning and Exploration under Uncertainty.

Ruben Martinez-Cantin, Nando de Freitas, Arnaud Doucet, José A. Castellanos

Proceedings of the Robotics: Science and Systems III, 2007

Analysis of Particle Methods for Simultaneous Robot Localization and Mapping and a New Algorithm: Marginal-SLAM.

Ruben Martinez-Cantin, Nando de Freitas, José A. Castellanos

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006

Adaptive Scale Robust Segmentation for 2D Laser Scanner.

Ruben Martinez-Cantin, José A. Castellanos, Juan D. Tardós, J. M. M. Montiel

Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Bounding Uncertainty in EKF-SLAM: the Robocentric Local Approach.

Ruben Martinez-Cantin, José A. Castellanos

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005

Visual map-less navigation based on homographies.

José Jesús Guerrero, Ruben Martinez-Cantin, Carlos Sagüés

J. Field Robotics, 2005

Unscented SLAM for large-scale outdoor environments.

Ruben Martinez-Cantin, José A. Castellanos

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005