Publications

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G
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.
S. Glas, Recatala, G., and Sorg, M., Automatic Reconstruction of Silhouettes Using B-Splines, Image Analysis. 13th Scandinavian Conference, SCIA 2003. Proceedings, no. 2749, pp. 239–246, 2003.
R. Garcia-Espallargas and Recatala, G., Distributed agents control system, a framework for programming distributed agents, in SMC '03 2003IEEE International Conference on Systems, Man and CyberneticsSMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), Washington, DC, USA, 2003.
J. Carlos García, Felip, J., and Sanz, P. J., The 2007 Spanish Humanoids Competition: From the Winners Point of View, in 8th Conference on Autonomous Robot Systems and Competitions, Aveiro (Portugal), 2008.
D. Gandhi, Cervera, E., and Ieee, I., Sensor covering of a robot arm for collision avoidance, in 2003 Ieee International Conference on Systems, Man and Cybernetics, Vols 1-5, Conference Proceedings, 2003, pp. 4951-4955.
E
R. Esteller-Curto, del Pobil, A. P., Cervera, E., and Marin, R., A test-bed Internet based architecture proposal for benchmarking of visual servoing techniques, in Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on, 2012.
D
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.
A. J. Duran and del Pobil, A. P., Discovering the Relationship Between the Morphology and the Internal Model in a Robot System by Means of Neural Networks, in International Conference on Intelligent Autonomous Systems, 2016.
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.
A. J. Duran and del Pobil, A. P., Robot depth estimation inspired by fixational movements, IEEE Transactions on Cognitive and Developmental Systems, pp. 1-1, 2020.
A. J. Duran and del Pobil, A. P., Predicting the internal model of a robotic system from its morphology, Robotics and Autonomous Systems, vol. 110, pp. 33 - 43, 2018.
A. J. Duran and del Pobil, A. P., Improving robot visual skills by means of a bio-inspired model, in 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2019.
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.
C. Diaz, del Pobil, A. P., Garcia, A., Castilla, D., and Miralles, I., Body Language for Mood Induction Procedures, in Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts, New York, NY, USA, 2015.
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.
A. P. del Pobil and Recatala, G., Problems in a Distributed Implementation of an Expert System, in Circuits, Systems and Computers, Piraeus (Greece), 1996.
A. P. del Pobil, Kassawat, M., Duran, A. J., Arias, M., Nechyporenko, N., Mallick, A., Cervera, E., Subedi, D., Vasilev, I., Cardin, D., Sansebastiano, E., Martinez-Martin, E., Morales, A., Casañ, G. A., Arenal, A., Goriatcheff, B., Rubert, C., and Recatala, G., UJI RobInLab's Approach to the Amazon Robotics Challenge 2017, in 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Daegu, Korea, 2017.

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