Ruben Martinez-Cantin

Ruben Martinez-Cantin

Former Collaborator

Collaborators

Position: Collaborator

Computer and Robot Vision Lab (VisLab)

tp.aobsilu.ocincet.rsi@nitnacmr

Phone :+351-218418299

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Journal Papers

[1] J. Castellanos, 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(2):93-103, 2009

Conference Papers

[2] J. Castanheira, Pedro Vicente, Ruben Martinez-Cantin, Lorenzo Jamone, Alexandre Bernardino, Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty, Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018
[3] José Nogueira, Ruben Martinez-Cantin, Alexandre Bernardino, Lorenzo Jamone, Unscented Bayesian optimization for safe robot grasping, Proc. of IROS 2016 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon, Korea, 2016
[4] P. Osorio, Alexandre Bernardino, Ruben Martinez-Cantin, José Santos-Victor, Gaussian Mixture Models for Affordance Learning using Bayesian Networks, Proc. of IROS 2010 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 2010
[5] Ashish Jain, Inference based Trajectory Optimization for Imitation based Grasping, Proc. of IROS 2010 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 2010
[6] Ruben Martinez-Cantin, Active body schema learning, Proc. of RSS 2009/PASCAL2 Workshop on Regression in Robotics Approaches and Applications, Seattle, WA, USA, 2009 - PDF
[1] J. Castellanos, 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(2):93-103, 2009
[1] J. Castanheira, Pedro Vicente, Ruben Martinez-Cantin, Lorenzo Jamone, Alexandre Bernardino, Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty, Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018
[2] José Nogueira, Ruben Martinez-Cantin, Alexandre Bernardino, Lorenzo Jamone, Unscented Bayesian optimization for safe robot grasping, Proc. of IROS 2016 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon, Korea, 2016
[3] P. Osorio, Alexandre Bernardino, Ruben Martinez-Cantin, José Santos-Victor, Gaussian Mixture Models for Affordance Learning using Bayesian Networks, Proc. of IROS 2010 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 2010
[4] Ashish Jain, Inference based Trajectory Optimization for Imitation based Grasping, Proc. of IROS 2010 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 2010
[5] Ruben Martinez-Cantin, Active body schema learning, Proc. of RSS 2009/PASCAL2 Workshop on Regression in Robotics Approaches and Applications, Seattle, WA, USA, 2009 - PDF

In the same group

Mihai Andries
João Avelino
Catarina Barata
Alexandre Bernardino
Clebeson Canuto
Heitor Cardoso
Nino Cauli
Bruno Damas
Atabak Dehban
Dimitris Dimou
Duarte Dornellas
Nuno Duarte
Luísa Fernandes
Rui Figueiredo
José Gaspar
Jorge Gonçalves
Lorenzo Jamone
Akhil John
Min Lee
Igor Lirussi
Xiangxiao Liu
Manuel Lopes
Plinio Moreno
Luka Lukić
Jorge S. Marques
João Martins
Cristina Melicio
Nuno Barroso Monteiro
Luis Montesano
Nuno Moutinho
Mehmet Mutlu
Athira Nambiar
Ricardo Nunes
Mirko Rakovic
Ricardo Ribeiro
David Ribeiro
Giampiero Salvi
José Santos-Victor
Giovanni Saponaro
Paul Schydlo
Hugo Simão
Sofija Spasojevic
Pedro Vicente