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, 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.
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.
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 del Pobil, A. P., A Robust Dioptric Surveillance System, in The 10th Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras (OmniVis) in Robotics: Science and Systems (RSS), Zaragoza, Spain, 2010.
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.
E. Martinez-Martin and del Pobil, A. P., Vision for Robust Robot Manipulation, Sensors, vol. 19, no. 7, 2019.
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, Escrig, M. T., and del Pobil, A. P., Qualitative Velocity Model: Representation, Reasoning and Application, in Ninth International Workshop on Constraint Handling Rules (CHR), Budapest, Hungary, 2012.
E. Martinez-Martin and del Pobil, A. P., A dioptric stereo system for robust real-time people tracking, in Workshop on People Detection and Tracking in IEEE International Conference on Robotics and Automation (ICRA 2009), Kobe, Japan, 2009.
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 Hybrid Algorithm for Motion Segmentation, in Signal and Image Processing, Acta Press, 2010, pp. 117–124.
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., Towards Safe Interactions with a Sturdy Humanoid Robot, in The Seventh IARP Workshop on Technical Challenges for Dependable Robots in Human Environments (DRHE2010), Tolouse, France, 2010.
E. Martinez-Martin and del Pobil, A. P., Robust Motion Detection in Real-Life Scenarios. London: Springer, 2012.
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 and Escrig, M. T., A general approach for qualitative reasoning models based on intervals, in Artificial Intelligence Research and Development, IOS Press, 2006, pp. 91–102.
E. Martinez-Martin and del Pobil, A. P., Object Recognition in Cluttered Environments, in IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA), Innsbruck, Austria, 2013.
E. Martinez-Martin and del Pobil, A. P., A vision system enabling all-embracing 360-degree awareness for activity recognition, in First Workshop on Context Awareness in Smart Environments: Background, Achievements and Challenges in 18th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2009), Toyama, Japan, 2009.

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