Publications

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A. Abou Moughlbay, Cervera, E., and Martinet, P., Error Regulation Strategies for Model Based Visual Servoing Tasks Application to Autonomous Object Grasping with Nao Robot. 2012, pp. 1311-1316.
A. Abou Moughlbay, Cervera, E., and Martinet, P., Real-Time Model Based Visual Servoing Tasks on a Humanoid Robot, Intelligent Autonomous Systems 12, Vol 1, vol. 193, pp. 321-333, 2013.
A. Morales, Chinellato, E., Fagg, A. H., and del Pobil, A. P., An active learning approach for assessing robot grasp reliability, in Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on, 2004.
A. Morales, Chinellato, E., Fagg, A. H., and del Pobil, A. P., Experimental prediction of the performance of grasp tasks from visual features, in Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on, 2003.
A. Morales, Recatala, G., Sanz, P. J., and del Pobil, A. P., Heuristic Vision-Based Computation of Planar Antipodal Grasps on Unknown Objects, in Proc. IEEE Intl. Conf. on Robotics and Automation, Seoul, Korea, 2001.
A. Morales, Sanz, P. J., Recatala, G., del Pobil, A. P., and Iñesta, J. M., Computing Contact Stability Grasps of Unknown Objects by Means of Vision, in Progreso em Inteligência Artificial. Actas do 6$^{o}$ Congresso Iberoamericano de Inteligência Artificial, Lisboa, Portugal, 1998.
A. Morales, Prats, M., and Recatala, G., A framework for using tactile data in autonomous reactive manipulation, in 13th IASTED International Conference Robotics and Applications (RA 2007), Würzburg (Germany), 2007.
S. Moisio, León, B., Korkealaakso, P., and Morales, A., Simulation of tactile sensors using soft contacts for robot grasping applications, in 2012 IEEE International Conference on Robotics and Automation (ICRA), Saint Paul, Minnesota, 2012.
S. Moisio, León, B., Korkealaakso, P., and Morales, A., Model of tactile sensors using soft contacts and its application in robot grasping simulation, Robotics and Autonomous Systems, vol. 61, pp. 1 - 12, 2013.
E. Martinez-Martin, Escrig, M. T., and del Pobil, A. P., A General Qualitative Spatio-Temporal Model Based on Intervals, Journal of Universal Computer Science, vol. 18, pp. 1343–1378, 2012.
E. Martinez-Martin and Escrig, M. T., A General Qualitative Spatio-Temporal Model Based on Intervals, in 25th International Workshop on Qualitative Reasoning (QR), Barcelona, Spain, 2011.
E. Martinez-Martin, Prats, M., del Pobil, A. P., and Sanz, P. J., Robots Behave in the Real World: Looking for books in a library, in Artificial Intelligence and Soft Computing, Acta Press, 2005, pp. 325–330.
E. Martinez-Martin and del Pobil, A. P., Visual Object Recognition for Robot Tasks in Real-Life Scenarios, in International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Jeju, Korea, 2013.
E. Martinez-Martin and del Pobil, A. P., Conflict Resolution in Robotics: An Overview, in Interdisciplinary Perspectives on Contemporary Conflict Resolution, Hershey: IGI Global, 2016, pp. 263-278.
E. Martinez-Martin and del Pobil, A. P., A Panoramic Vision System for Human-Robot Interaction, in 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI2010), Osaka, Japan, 2010.
E. Martinez-Martin and del Pobil, A. P., A Hybrid Algorithm for Motion Segmentation, in Signal and Image Processing, Acta Press, 2010, pp. 117–124.
E. Martinez-Martin and del Pobil, A. P., A Biologically Inspired Approach for Robot Depth Estimation, Computational Intelligence and Neuroscience, vol. 2018, p. 9179462, 2018.
E. Martinez-Martin, Computer Vision Methods for Robot Tasks: Motion Detection, Depth Estimation and Tracking, AI Communications, vol. 25, pp. 373–375, 2012.
E. Martinez-Martin and del Pobil, A. P., Visual Surveillance for Human-Robot Interaction, in IEEE International Conference on Systems, Man and Cybernetics (SMC), Seoul, Korea, 2012.
E. Martinez-Martin, del Pobil, A. P., and Escrig, M. T., Qualitative Acceleration Model: Representation, Reasoning and Application, in Distributed Computing and Artificial Intelligence, vol. 217, Springer International Publishing, 2013, pp. 87-94.

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