Publications

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E. Martinez-Martin and del Pobil, A. P., A Panoramic Vision System for Human-Robot Interaction, in 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI2010), Osaka, Japan, 2010.
E. Cervera, del Pobil, A. P., Marta, E., and Serna, M. A., Perception-based learning for motion in contact in task planning, Journal of Intelligent & Robotic Systems, vol. 17, pp. 283-308, 1996.
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. Cervera, del Pobil, A. P., and Cabezudo, M. - I., Playful Interaction with Humanoid Robots for Social Development in Autistic Children: a Pilot Study, in 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), India, 2019.
E. Chinellato, Grzyb, B. J., and del Pobil, A. P., Pose Estimation Through Cue Integration: A Neuroscience-Inspired Approach, IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 42(2), pp. 530–538, 2012.
E. Chinellato, Grzyb, B. J., and del Pobil, A. P., Pose Estimation Through Cue Integration: A Neuroscience-Inspired Approach, Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, vol. 42, pp. 530-538, 2012.
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. P. del Pobil and Recatala, G., Problems in a Distributed Implementation of an Expert System, in Circuits, Systems and Computers, Piraeus (Greece), 1996.
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E. Martinez-Martin, Escrig, M. T., and del Pobil, A. P., A Qualitative Acceleration Model Based on Intervals, ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, vol. 1, no. 5, pp. 17–23, 2013.
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.
E. Martinez-Martin, Escrig, M. T., and del Pobil, A. P., Qualitative Velocity Model: Representation, Reasoning and Application, in Ninth International Workshop on Constraint Handling Rules (CHR), Budapest, Hungary, 2012.

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