Publications

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Conference Paper
M. Antonelli, Duran, A. J., Chinellato, E., and del Pobil, A. P., Adaptive Saccade Controller Inspired by the Primates’ Cerebellum, in IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, USA, 2015.
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.
E. Chinellato, Recatala, G., del Pobil, A. P., Mezouar, Y., and Martinet, P., 3D Grasp Synthesis Based on Object Exploration, in 2006 IEEE International Conference on Robotics and Biomimetics2006 IEEE International Conference on Robotics and Biomimetics, Kunming, China, 2006.
G. Recatala, Chinellato, E., del Pobil, A. P., Mezouar, Y., and Martinet, P., 3D Grasp Synthesis Based on a Visual Cortex Model, in The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006.The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006., Pisa, Italy, 2006.
Book Chapter
E. Martinez-Martin, Chinellato, E., and del Pobil, A. P., A visual application for studying cooperative behaviours, in Visualization, Imaging and Image Processing, Acta Press, 2007, pp. 70–75.
E. Martinez-Martin and del Pobil, A. P., Visual analysis of robot and animal colonies, in Swarm Robotics, In-Tech, 2010, pp. 91–101.
E. Chinellato, Grzyb, B. J., Fattori, P., and del Pobil, A. P., Toward an Integrated Visuomotor Representation of the Peripersonal Space, 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. 2009, pp. 314–323.
M. Antonelli, Duran, A. J., Chinellato, E., and del Pobil, A. P., Speeding-Up the Learning of Saccade Control, in Biomimetic and Biohybrid Systems, vol. 8064, N. F. Lepora, Mura, A., Krapp, H. G., Verschure, P. F. M. J., and Prescott, T. J., Eds. Springer Berlin Heidelberg, 2013, pp. 12-23.
E. Cervera, Garcia-Aracil, N., Martinez-Martin, E., Nomdedeu, L., and del Pobil, A. P., Safety for a robot arm moving amidst humans by using panoramic vision, in 2008 Ieee International Conference on Robotics and Automation, Vols 1-9, 2008, pp. 2183-2188.
E. Martinez-Martin and del Pobil, A. P., Robust Object Recognition in Unstructured Environments, in Advances in Intelligent Systems and Computing, vol. 193, Springer International Publishing, 2013, pp. 705-714.
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, 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.
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. 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, 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. 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., Methods for reliable robot vision with a dioptric system, in Robot Vision, In-Tech, 2010, pp. 13–20.
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 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.
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.
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.

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