Publications

Journal Publications

  • A. Jevtić, A. Colomé, G. Alenyà and C. Torras. Robot motion adaptation through user intervention and reinforcement learning. Pattern Recognition Letters, 2017. In press. Available online 17 June 2017.  DOI PDF

  • E.Pignat and S.Calinon. Learning adaptive dressing assistance from human demonstration. Robotics and Autonomous Systems, 93,:61-75, 2017. DOI 

  • A. Agudo and F. Moreno-Noguer. Combining local-physical and global-statistical models for sequential deformable shape from motion. International Journal of Computer Vision, 122(2): 371-387, 2017. DOI PDF

  • E. Simo-Serra, C. Torras and F. Moreno-Noguer. 3D human pose tracking priors using geodesic mixture models. International Journal of Computer Vision, 122(2): 388-408, 2017. DOI PDF

  • A. Agudo, J.M. Martínez, L. Agapito and B. Calvo. Modal space: A physics-based model for sequential estimation of time-varying shape from monocular video. Journal of Mathematical Imaging and Vision, 57(1): 75–98, 2017. DOI PDF

  • G. Chance, A. Jevtić, P. Caleb-Solly and S. Dogramadzi. A quantitative analysis of dressing dynamics for robotic dressing assistance. Frontiers in Robotics and AI, 4(13): 1-14, 2017. DOI PDF

  • P. Jiménez. Visual grasp point localization, classification and state recognition in robotic manipulation of cloth: An overview. Robotics and Autonomous Systems, 92:107-125, June 2017.  DOI

  • C. Torras. Service robots for citizens of the future. European Review, 24(1): 17-30, 2016. DOI PDF

  • J.G. Hoyos, F. Prieto, G. Alenyà and C. Torras. Execution Fault Recovery in Robot Programming by Demonstration Using Multiple Models. IEEE Latin America Transactions , 14(2): 517-523, 2016. DOI PDF

  • A. Agudo, F. Moreno-Noguer, B. Calvo and J.M. Martínez. Real-time 3D reconstruction of non-rigid shapes with a single moving camera. Computer Vision and Image Understanding, 153(12): 37–54, 2016. DOI PDF

  • A. Ramisa, G. Alenyà, F. Moreno-Noguer and C. Torras. A 3D descriptor to detect task-oriented grasping points in clothing. Pattern Recognition, 60: 936-948, 2016. DOI PDF

  • F. Moreno-Noguer and J.M. Porta. A Bayesian approach to simultaneously recover camera pose and non-rigid shape from monocular images. Image and Vision Computing, 52: 141-153, 2016. DOI PDF

Conference Publications

  • G. Chance, P. Caleb-Solly, A. Jevtić and S. Dogramadzi. What's "up"? - Resolving interaction ambiguity through non-visual cues for a robotic dressing assistant, 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017, Lisbon, Portugal, to appear. 

  • A. Agudo and F. Moreno-Noguer. DUST: Dual union of spatio-temporal subspaces for monocular multiple object 3D reconstruction, 2017 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2017, Honolulu, USA, IEEE, to appear. 

  • A. Rubio, L. Yu, E. Simo-Serra and F. Moreno-Noguer. Multi-modal joint embedding for fashion product retrieval, 2017 IEEE International Conference on Image Processing, 2017, Beijing, to appear. 

  • A. Agudo and F. Moreno-Noguer. Global model with local interpretation for dynamic shape reconstruction, 2017 IEEE Winter Conference on Applications of Computer Vision, 2017, Santa Rosa (California), USA, pp. 264-272, IEEE. 

  • A. Pumarola, A. Vakhitov, A. Agudo, A. Sanfeliu and F. Moreno-Noguer. PL-SLAM: Real-time monocular visual SLAM with points and lines, 2017 IEEE International Conference on Robotics and Automation, 2017, Singapore, pp. 4503-4508. 

  • A. Colomé and C. Torras. Demonstration-free contextualized probabilistic movement primitives, further enhanced with obstacle avoidance, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017, Vancouver, Canada, to appear.

  • S. Calinon. Stochastic learning and control in multiple coordinate systems. International Workshop on Human-Friendly Robotics (HFR), 2016. PDF

  • G. Chance, A. Camilleri, B. Winstone, P. Caleb-Solly and S. Dogramadzi. An assistive robot to support dressing - strategies for planning and error handling. 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Singapore, 2016, pp. 774-780. DOI PDF

  • G. Martín, F. Husain, H. Schulz, S. Frintrop, C. Torras and S. Behnke. Semantic segmentation priors for object discovery, 23rd International Conference on Pattern Recognition, 2016, Cancún, Mexico, pp. 549-554.

  • A. Rubio, L. Yu, E. Simo-Serra and F. Moreno-Noguer. BASS: Boundary-aware superpixel segmentation, 23rd International Conference on Pattern Recognition, 2016, Cancún, Mexico, pp. 2824-2829.

  • A. Agudo, J.M. Martínez, B. Calvo and F. Moreno-Noguer. Mode-shape interpretation: Re-thinking modal space for recovering deformable shapes, 2016 IEEE Winter Conference on Applications of Computer Vision, 2016, Lake Placid, USA, pp. 1-8, IEEE.

  • A. Vakhitov, J. Funke and F. Moreno-Noguer. Accurate and linear time pose estimation from points and lines, 14th European Conference on Computer Vision, 2016, Amsterdam, in Computer Vision - ECCV 2016, Vol 9911 of Lecture Notes in Computer Science, pp. 583-599, 2016.

  • D. Martínez, G. Alenyà, C. Torras, T. Ribeiro and K. Inoue. Learning relational dynamics of stochastic domains for planning, 26th International Conference on Automated Planning and Scheduling, 2016, London, pp. 235-243.

  • A. Quattoni, A. Ramisa, P. Swaroop, E. Simo-Serra and F. Moreno-Noguer. Structured prediction with output embeddings for semantic image annotation, 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , 2016, San Diego, pp. 552-557.

  • A. Gabás, E. Corona, G. Alenyà and C. Torras. Robot-aided cloth classification using depth information and CNNs, 9th Conference on Articulated Motion and Deformable Objects, 2016, Palma de Mallorca, Spain, in Articulated Motion of Deformable Objects, Vol 9756 of Lecture Notes in Computer Science, pp. 16-23, 2016, Springer.

  • A. Agudo and F. Moreno-Noguer. Recovering pose and 3D deformable shape from multi-instance image ensembles, 13th Asian Conference on Computer Vision, 2016, Taipei, Taiwan, in Computer Vision – ACCV 2016, Vol 10114 of Lecture Notes in Computer Science, pp. 291-307, 2017, Springer.

  • G. Canal, G. Alenyà and C. Torras. Personalization framework for adaptive robotic feeding assistance, 8th International Conference on Social Robotics, 2016, Kansas City, USA, in Social Robotics, Vol 9979 of Lecture Notes in Artificial Intelligence, pp. 22-31, 2016, Springer.

  • A. Jevtić, A. Colomé, G. Alenyà and C. Torras. User evaluation of an interactive learning framework for single-arm and dual-arm robots, 8th International Conference on Social Robotics, 2016, Kansas City, USA, in Social Robotics, Vol 9979 of Lecture Notes in Artificial Intelligence, pp. 52-61, 2016, Springer.

Posters

  • A. Jevtić, A. Colomé, G. Alenyà and C. Torras. Learning Robot Motion through User Intervention and Policy Search. IEEE International Conference on Robotics and Automation (ICRA 2016), Workshop Nature versus Nurture in Robotics, Stockholm, Sweden, May 2016. PDF