Publications

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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, A cross-platform network-ready visual servo simulator. 2006, pp. 2314-2319.
E. Cervera, Garcia, J. C., and Sanz, P. J., Toward the Robot Butler: The HUMABOT Challenge [Competitions], IEEE Robotics Automation Magazine, vol. 22, pp. 8-17, 2015.
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. 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. Cervera and del Pobil, A. P., ROSLab Sharing ROS Code Interactively With Docker and JupyterLab, IEEE Robotics & Automation Magazine, vol. 26, no. 3, pp. 64-69, 2019.
E. Cervera, Integrating computer vision libraries in networked robotic systems. 2005, pp. 267-272.
E. Cervera, Martinez-Martin, E., Nomdedeu, L., and del Pobil, A. P., Fisheye visual control for dependable mobile manipulators, in The Fifth IARP-IEEE/RAS-EURON Joint Workshop on Technical challenges for Dependable Robots in Human Environments, Rome, Italy, 2007.
E. Cervera and del Pobil, A. P., Learning strategies for sensor-based manipulation tasks. 1997, pp. 54-59.
E. Cervera and Gazi, V., Agent Standard Protocols for Building Multi-Robot Applications. 2008, pp. 1-5.
E. Cervera and del Pobil, A. P., A SOM-based sensing approach to robotic manipulation tasks. 1999, pp. 207-217.
E. Cervera, Casañ, G. A., and Tellez, R., Cloud Simulations for RoboCup, in RoboCup 2017, Nagoya, Japan, 2017.
E. Chinellato, Morales, A., Cervera, E., and del Pobil, A. P., Symbol grounding through robotic manipulation in cognitive systems, Robotics and Autonomous Systems, vol. 55, pp. 851-859, 2007.
E. Chinellato and del Pobil, A. P., VISUAL NEUROSCIENCE OF ROBOTIC GRASPING. Springer, 2016.
E. Chinellato, Grzyb, B. J., and del Pobil, A. P., Brain Mechanisms for Robotic Object Pose Estimation, 2008.
E. Chinellato, Grzyb, B. J., Marzocchi, N., Bosco, A., Fattori, P., and del Pobil, A. P., The Dorso-medial visual stream: From neural activation to sensorimotor interaction, Neurocomputing, vol. 74, pp. 1203 - 1212, 2011.
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.
E. Chinellato, Felip, J., Grzyb, B. J., Morales, A., and del Pobil, A. P., Hierarchical object recognition inspired by primate brain mechanisms, in Computational Intelligence for Visual Intelligence (CIVI), 2011 IEEE Workshop on, 2011.
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.
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.
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., 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.
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.
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.
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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