Sort by year

Journal Papers

  • Ruben Martinez-Cantin, Nando de Freitas, Eric Brochu, Jose Castellanos and Arnaud Doucet (2009) A Bayesian Exploration-Exploitation Approach for Optimal Online Sensing and Planning with a Visually Guided Mobile Robot. Autonomous Robots - Special Issue on Robot Learning, Part B, 27(3):93-103. (Videos) (PDF) (BibTeX)
  • Jose Castellanos, Ruben Martinez-Cantin, Juan D. Tardos and Jose Neira (2007) Robocentric Map Joining: Improving the Consistency of EKF-SLAM. Robotics and Autonomous Systems, 55:21-29. (Videos) (PDF) (BibTeX)
  • Josechu Guerrero, Ruben Martinez-Cantin and Carlos Sagues (2005) Visual Map-less Navigation based on Homographies. J. of Robotic Systems, 22(10):569-581. (Videos) (PDF) (BibTeX)

Conference Papers

  • Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin and José Santos-Victor (2010) An EM Algorithm for Affordance Learning with Probabilistic Clustering. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Workshop on Probabilistic Graphical Models in Robotics (GraphBot).. (BibTeX)
  • Ruben Martinez-Cantin, Manuel Lopes and Luis Montesano (2010) Body Schema Acquisition through Active Learning. In Proc. of the IEEE Int. Conf. on Robotics & Automation.. (PDF) (BibTeX)
  • Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin and José Santos-Victor (2010) Gaussian Mixture Models for Affordance Learning using Bayesian Networks. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems.. (PDF) (BibTeX)
  • Ashish Jain, Ruben Martinez-Cantin, Alexandre Bernardino and José Santos-Victor (2010) Inference based Trajectory Optimization for Imitation based Grasping. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Workshop on Grasp Planning and Task Learning by Imitation.. (BibTeX)
  • Ruben Martinez-Cantin, Manuel Lopes and Luis Montesano (2009) Active Body Schema Learning. In Robotics: Science and Systems, Workshop on Regression in Robotics.. (PDF) (BibTeX)
  • Ruben Martinez-Cantin, Nando de Freitas and Jose Castellanos (2007) Analysis of Particle Methods for Simultaneous Robot Localization and Mapping and a New Algorithm: Marginal-SLAM. In Proc. of the IEEE Int. Conf. on Robotics & Automation.. (PDF) (BibTeX)
  • Ruben Martinez-Cantin, Nando de Freitas, Jose Castellanos and Arnaud Doucet (2007) Active Policy Learning for Robot Planning and Exploration under Uncertainty. In Proc. of Robotics: Science and Systems.. (Videos) (PDF) (BibTeX)
  • Ruben Martinez-Cantin, Nando de Freitas and Jose Castellanos (2007) Multi-Robot Marginal-SLAM. In Proc. of the Int. Joint Conf. on Artificial Intelligence, Workshop on Multirobotic Systems for Societal Applications.. (PDF) (BibTeX)
  • Ruben Martinez-Cantin and Jose Castellanos (2006) Bounding Uncertainty in EKF-SLAM: The Robocentric Local Approach. In Proc. of the IEEE Int. Conf. on Robotics & Automation., pages 430-435. (Videos) (PDF) (BibTeX)
  • Ruben Martinez-Cantin, Jose Castellanos, Juan D. Tardos and J.M.M. Montiel (2006) Adaptive Scale Robust Segmentation for 2D Laser Scanner. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems.. (PDF) (BibTeX)
  • Ruben Martinez-Cantin and Jose Castellanos (2005) Unscented SLAM for Large-Scale Outdoor Environments. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems., pages 328-333. (PDF) (BibTeX)

Technical Reports

  • Héctor Ratia, Luis Montesano and Ruben Martinez-Cantin (2011) On the Performance of Maximum Likelihood Inverse Reinforcement Learning. Technical report, arXiv:1202.1558. (PDF) (BibTeX)

Thesis

  • Ruben Martinez-Cantin (2008) Active Map Learning for Robots: Insights into Statistical Consistency. PhD thesis, University of Zaragoza. (PDF) (BibTeX)

bibtexfile

The documents contained and directly linked to here are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.