Publications

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M. Antonelli, Chinellato, E., and del Pobil, A. P., On-Line Learning of the Visuomotor Transformations on a Humanoid Robot, in Intelligent Autonomous Systems 12, vol. 193, S. Lee, Cho, H., Yoon, K. - J., and Lee, J., Eds. Springer Berlin Heidelberg, 2013, pp. 853-861.
E. Martinez-Martin and del Pobil, A. P., Object Recognition in Cluttered Environments, in Signal Processing, Pattern Recognition and Applications, Acta Press, 2013, pp. 474-479.
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.
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P. J. Sanz, Prats, M., Martinez-Martin, E., del Pobil, A. P., Marín, R., Speth, J., and Achard, C., Jaume: The UJI Service Robot, in Workshop on Mobile Manipulators: Basic Techniques, New Trends and Applications in IEEE/RSJ International Conference on Intelligent Robots and Systems, Edmonton, Alberta, Canada, 2005.
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A. P. del Pobil, Duran, A. J., Antonelli, M., Felip, J., Morales, A., Prats, M., and Chinellato, E., Integration of Visuomotor Learning, Cognitive Grasping and Sensor-Based Physical Interaction in the UJI Humanoid Torso, in Designing Intelligent Robots: Reintegrating AI, vol. SS-13-04, AAAI, 2013, pp. pp. 6-11.
B. J. Grzyb, Castelló, V., Antonelli, M., and del Pobil, A. P., Integration of Static and Self-motion-Based Depth Cues for Efficient Reaching and Locomotor Actions, in Artificial Neural Networks and Machine Learning – ICANN 2012, vol. 7552, A. E. P. Villa, Duch, W., Érdi, P., Masulli, F., and Palm, G., Eds. Springer Berlin Heidelberg, 2012, pp. 322-329.
E. Cervera and del Pobil, A. P., Integration of self-organizing feature maps and reinforcement learning in robotics, in Biological and Artificial Computation: from Neuroscience to Technology, vol. 1240, J. Mira, MorenoDiaz, R., and Cabestany, J., Eds. 1997, pp. 1344-1354.
E. Martinez-Martin, del Pobil, A. P., Chessa, M., Solari, F., and Sabatini, S. P., An Integrated Virtual Environment for Visual-based Reaching, in The Fifth ACM International Conference on Ubiquitous Information Management and Communication (ICUIMC), Seoul, Korea, 2011.
E. Cervera, del Pobil, A. P., Berry, F., and Martinet, P., Improving image-based visual servoing with three-dimensional features, International Journal of Robotics Research, vol. 22, pp. 821-839, 2003.
E. Chinellato, Antonelli, M., Grzyb, B. J., and del Pobil, A. P., Implicit Sensorimotor Mapping of the Peripersonal Space by Gazing and Reaching, Autonomous Mental Development, IEEE Transactions on, vol. 3, pp. 43-53, 2011.
M. Antonelli, Chinellato, E., and del Pobil, A. P., Implicit mapping of the peripersonal space of a humanoid robot, in Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on, 2011.
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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.
B. J. Grzyb, del Pobil, A. P., and Smith, L. B., How Walking Influences the Development of Absolute Distance Perception, in From Animals to Animats 12, vol. 7426, T. Ziemke, Balkenius, C., and Hallam, J., Eds. Springer Berlin / Heidelberg, 2012, pp. 65–74.
C. Díaz-Montilla and del Pobil, A. P., How important is body language in mood induction procedures with a humanoid robot?, in Robot and Human Interactive Communication (RO-MAN), 2015 24th IEEE International Symposium on, 2015.
M. Antonelli, Gibaldi, A., Beuth, F., Duran, A. J., Canessa, A., Chessa, M., Solari, F., del Pobil, A. P., Hamker, F., Chinellato, E., and Sabatini, S. P., A hierarchical system for a distributed representation of the peripersonal space of a humanoid robot, IEEE Trans. Auton. Mental Develop, pp. 1–15, 2014.
E. Chinellato, Felip, J., Grzyb, B. J., Morales, A., and del Pobil, A. P., Hierarchical object recognition inspired by primate brain mechanisms, in Computational Intelligence for Visual Intelligence (CIVI), 2011 IEEE Workshop on, 2011.
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.

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