Publications

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G. A. Casañ and Cervera, E., RPN: aprendizaje de la programación de robots mediante bloques en un entorno 3D, ReVisión, vol. 8, no. 3, 2015.
G. A. Casañ and Cervera, E., The Experience of the Robot Programming Network Initiative, Journal of Robotics, vol. 2018, p. 2312984, 2018.
G. A. Casañ and Cervera, E., Introducción a la Programación de Robots Móviles: un curso en 3D con simuladores, ReVision, vol. 9, no. 3, 2016.
G. A. Casañ and Ramo, M. Pilar, Una experiencia en la enseñanza en secundaria de robótica y programación con recursos remotos: el curso Tortuga del RPN, ReVision, vol. 10, no. 3, In Press.
G. A. Casañ and Cervera, E., Robot Programming Network: un sistema distribuido para el aprendizaje de la programación de robots, ReVisión, vol. 8, no. 1, January 2015, 2015.
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., 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, 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.
E. Cervera, Distributed visual servoing: A cross-platform agent-based implementation. 2005, pp. 3676-3681.
E. Cervera and del Pobil, A. P., Multiple self-organizing maps: A hybrid learning scheme, Neurocomputing, vol. 16, pp. 309-318, 1997.
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, Garcia-Aracil, N., Martinez-Martin, E., Nomdedeu, L., and del Pobil, A. P., Safety for a robot arm moving amidst humans by using panoramic vision, in 2008 Ieee International Conference on Robotics and Automation, Vols 1-9, 2008, pp. 2183-2188.
E. Cervera and del Pobil, A. P., A SOM-based sensing approach to robotic manipulation tasks. 1999, pp. 207-217.
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. 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. Cervera, Sales, J., Nomdedeu, L., Marin, R., and Gazi, V., Agents at Play: Off-the-shelf Software for Practical Multi-robot Applications. 2008, pp. 2719-2722.
E. Cervera and del Pobil, A. P., Self-organizing maps for supervision in robot pick-and-place operations. 1995, pp. 372-375.
E. Cervera, Garcia-Arancil, N., Martinez-Martin, E., Nomdedeu, L., and del Pobil, A. P., Safety for a robot arm moving amidst humans by using panoramic vision, in IEEE International Conference on Robotics and Automation (ICRA), Pasadena, CA, USA, 2008.
E. Cervera and Trevelyan, J., Evolutionary structural optimisation based on boundary representation of NURBS. Part II: 3D algorithms, Computers & Structures, vol. 83, pp. 1917-1929, 2005.
E. Cervera, Berry, F., and Martinet, P., Is 3D useful in stereo visual control?. 2002, pp. 1630-1635.
E. Cervera, del Pobil, A. P., Marta, E., and Serna, M. A., USE OF SENSORS TO DEAL WITH UNCERTAINTY IN REALISTIC ROBOTIC ENVIRONMENTS, vol. 2492. 1995, pp. 740-747.
E. Cervera, Practical Multi-Robot Applications with Player and JADE. 2008, pp. 2004-2009.
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.

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