Publications

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Author Title [ Type(Desc)] Year
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Book
E. Cervera, del Pobil, A. P., Marta, E., and Serna, M. A., Dealing with uncertainty in fine motion: A neural approach. 1995, pp. 119-126.
E. Cervera and del Pobil, A. P., Learning strategies for sensor-based manipulation tasks. 1997, pp. 54-59.
E. Martinez-Martin and del Pobil, A. P., Robust Motion Detection in Real-Life Scenarios. London: Springer, 2012.
E. Cervera and del Pobil, A. P., Self-organizing maps for supervision in robot pick-and-place operations. 1995, pp. 372-375.
E. Cervera and del Pobil, A. P., A SOM-based sensing approach to robotic manipulation tasks. 1999, pp. 207-217.
E. Cervera, del Pobil, A. P., Marta, E., and Serna, M. A., USE OF SENSORS TO DEAL WITH UNCERTAINTY IN REALISTIC ROBOTIC ENVIRONMENTS, vol. 2492. 1995, pp. 740-747.
Book Chapter
E. Martinez-Martin and del Pobil, A. P., “Animal Social Behaviour: A Visual Analysis”, in From Animals to Animats 13, vol. 8575, A. P. del Pobil, Chinellato, E., Martinez-Martin, E., Hallam, J., Cervera, E., and Morales, A., Eds. Springer International Publishing, 2014, pp. 320-327.
E. Martinez-Martin and del Pobil, A. P., “Animal Social Behaviour: A Visual Analysis”, in From Animals to Animats 13, vol. 8575, A. P. del Pobil, Chinellato, E., Martinez-Martin, E., Hallam, J., Cervera, E., and Morales, A., Eds. Springer International Publishing, 2014, pp. 320-327.
M. Antonelli, del Pobil, A. P., and Rucci, M., “Depth Estimation during Fixational Head Movements in a Humanoid Robot”, in Computer Vision Systems, vol. 7963, M. Chen, Leibe, B., and Neumann, B., Eds. Springer Berlin Heidelberg, 2013, pp. 264-273.
E. Chinellato, Grzyb, B. J., Marzocchi, N., Bosco, A., Fattori, P., and del Pobil, A. P., “Eye-Hand Coordination for Reaching in Dorsal Stream Area {V6A}: Computational Lessons”, in Bioinspired Applications in Artificial and Natural Computation, LNCS 5602, J. Mira, Ferrandez, J. M., Alvarez Sánchez, J. R., de la Paz, F., and Toledo, J., Eds. Springer, 2009, pp. 304–313.
G. Recatala, Sanz, P. J., Cervera, E., and del Pobil, A. P., “Filter-based control of a gripper-to-object positioning movement”, in 2004 Ieee International Conference on Systems, Man & Cybernetics, Vols 1-7, 2004, pp. 5423-5428.
A. Costa, Martinez-Martin, E., del Pobil, A. P., Simoes, R., and Novais, P., “Find It – An Assistant Home Agent”, in Trends in Practical Applications of Agent and Multi-Agent, vol. 221, Springer International Publishing, 2013, pp. 121-128.
E. Martinez-Martin, Escrig, M. T., and del Pobil, A. P., “A General Framework for Naming Qualitative Models Based on Intervals”, in Distributed Computing and Artificial Intelligence, Springer–Verlag Berlin Heidelberg, 2012, pp. 681-688.
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.
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. 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.
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.
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.
E. Martinez-Martin and del Pobil, A. P., “Methods for reliable robot vision with a dioptric system”, in Robot Vision, In-Tech, 2010, pp. 13–20.
E. Cervera and del Pobil, A. P., “Multiple self-organizing maps for supervised learning”, in From Natural to Artificial Neural Computation, vol. 930, J. Mira and Sandoval, F., Eds. 1995, pp. 345-352.
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.
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. Chinellato, Antonelli, M., and del Pobil, A. P., “A Pilot Study on Saccadic Adaptation Experiments with Robots”, in Biomimetic and Biohybrid Systems, vol. 7375, T. J. Prescott, Lepora, N. F., Mura, A., and Verschure, P. F. M. J., Eds. Springer Berlin Heidelberg, 2012, pp. 83-94.
M. Antonelli, Grzyb, B. J., Castelló, V., and del Pobil, A. P., “Plastic Representation of the Reachable Space for a Humanoid Robot”, in From Animals to Animats 12, vol. 7426, T. Ziemke, Balkenius, C., and Hallam, J., Eds. Springer Berlin Heidelberg, 2012, pp. 167-176.
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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