Publications

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K. Yoo, Park, E., Kim, H., Ohm, J. Y., Yang, T., Kim, K. Joon, Chang, H. Joon, and del Pobil, A. P., “Optimized Renewable and Sustainable Electricity Generation Systems for Ulleungdo Island in South Korea”, Sustainability, vol. 6, p. 7883, 2014.
S. Baek, Park, E., Kim, M. - G., Kwon, S. Jib, Kim, K. Joon, Ohm, J. Y., and del Pobil, A. P., “Optimal renewable power generation systems for Busan metropolitan city in South Korea”, Renewable Energy, vol. 88, pp. 517–525, 2016.
G. A. Casañ, Cervera, E., and del Pobil, A. P., “Online teaching of humanoid robots”, in Human Robot Interaction Education Workshop, Portland, Oregon, 2015.
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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E. Martinez-Martin, Escrig, M. T., and del Pobil, A. P., “Naming Qualitative Models Based on Intervals: A General Framework”, International Journal of Artificial Intelligence, vol. A13, no. 11, pp. 74–92, 2013.
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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. Cervera and del Pobil, A. P., “Multiple self-organizing maps: A hybrid learning scheme”, Neurocomputing, vol. 16, pp. 309-318, 1997.
A. J. Duran and del Pobil, A. P., “A Model of Artificial Genotype and Norm of Reaction in a Robotic System”, in International Conference on Simulation of Adaptive Behavior, 2016.
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.
M. Prats, Sanz, P. J., Martinez-Martin, E., Marín, R., and del Pobil, A. P., “Manipulación Autónoma Multipropósito en el Robot de Servicios Jaume-2”, Revista Iberoamericana de Automática e Informática Industrial, vol. 5, no. 2, pp. 25–37, 2008.
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M. Antonelli, Duran, A. J., Chinellato, E., and del Pobil, A. P., “Learning the visual-oculomotor transformation: Effects on saccade control and space representation”, Robotics and Autonomous Systems, 2014.
E. Cervera and del Pobil, A. P., Learning strategies for sensor-based manipulation tasks. 1997, pp. 54-59.
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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.
A. J. Duran and del Pobil, A. P., “Initial weight estimation for learning the internal model based on the knowledge of the robot morphology”, in Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, 2016.
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.

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