Ruben Martinez-Cantin

According to our database1, Ruben Martinez-Cantin authored at least 25 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Robust Policy Search for Robot Navigation with Stochastic Meta-Policies.
CoRR, 2020

2019
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems.
IEEE Trans. Cybern., 2019

Indoor Scenes Understanding for Visual Prosthesis with Fully Convolutional Networks.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Fully Distributed Bayesian Optimization with Stochastic Policies.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Structural and object detection for phosphene images.
CoRR, 2018

Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Practical Bayesian optimization in the presence of outliers.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Active Preference Learning for Personalized Portfolio Construction.
CoRR, 2017

Robust Bayesian Optimization with Student-t Likelihood.
CoRR, 2017

Bayesian optimization with adaptive kernels for robot control.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Unscented Bayesian optimization for safe robot grasping.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Local Nonstationarity for Efficient Bayesian Optimization.
CoRR, 2015

2014
BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits.
J. Mach. Learn. Res., 2014

2013
BayesOpt: A Library for Bayesian optimization with Robotics Applications.
CoRR, 2013

2012
On the Performance of Maximum Likelihood Inverse Reinforcement Learning
CoRR, 2012

2010
Gaussian mixture models for affordance learning using Bayesian Networks.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Body schema acquisition through active learning.
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.
Auton. Robots, 2009

2007
Robocentric map joining: Improving the consistency of EKF-SLAM.
Robotics Auton. Syst., 2007

Active Policy Learning for Robot Planning and Exploration under Uncertainty.
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.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006
Adaptive Scale Robust Segmentation for 2D Laser Scanner.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Bounding Uncertainty in EKF-SLAM: the Robocentric Local Approach.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005
Visual map-less navigation based on homographies.
J. Field Robotics, 2005

Unscented SLAM for large-scale outdoor environments.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005


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