Publications

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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., 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.
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. Cervera, Berry, F., and Martinet, P., Stereo visual servoing with oriented blobs. 2003, pp. 977-982.
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, Try to Start It! The Challenge of Reusing Code in Robotics Research, IEEE Robotics and Automation Letters, vol. 4, no. 1, pp. 49-56, 2019.
E. Cervera and Trevelyan, J., Evolutionary structural optimisation based on boundary representation of NURBS. Part I: 2D algorithms, Computers & Structures, vol. 83, pp. 1902-1916, 2005.
E. Cervera, Martinet, P., Marin, R., Moughlbay, A. Abou, del Pobil, A. P., Alemany, J., Esteller-Curto, R., and Casañ, G. A., The Robot Programming Network, Journal of Inteligent and Robotic Sytems, vol. 81, no. 1, 2015.
E. Cervera and del Pobil, A. P., Sensor-based learning for practical planning of fine motions in robotics, Information Sciences, vol. 145, pp. 147-168, 2002.
E. Cervera, Martinet, P., Marin, R., Moughlbay, A. A., del Pobil, A. P., Alemany, J., Esteller, R., and Casañ, G., The robot programming network, Journal of Intelligent & Robotic Systems, vol. 81, pp. 77–95, 2016.
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, 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, A cross-platform network-ready visual servo simulator. 2006, pp. 2314-2319.
E. Cervera, TRANSPARENT SHARING OF LINKS IN INMOS TOOLSET APPLICATIONS, in Transputer Applications and Systems '94: Proceedings of the 1994 World Transputer Congress, vol. 41, A. DeGloria, Jane, M. R., and Marini, D., Eds. 1994, pp. 739-747.
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 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 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, Casañ, G. A., and Tellez, R., Cloud Simulations for RoboCup, in RoboCup 2017, Nagoya, Japan, 2017.
E. Cervera, GPU-Accelerated Vision for Robots: Improving System Throughput Using OpenCV and CUDA, IEEE Robotics & Automation MagazineIEEE Robotics & Automation Magazine, vol. 27, no. 2, pp. 151 - 158, 2020.

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