Publications

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G
G. Recatala, Sanz, P. J., Cervera, E., and del Pobil, A. P., Grasp-based visual servoing for the manipulation of planar objects, in Proc. Intl. Conf. on Intelligent Manipulation and Grasping, Genoa, Italy, 2004.
G. Recatala, Sanz, P. J., Cervera, E., and del Pobil, A. P., Grasp-based visual servoing for gripper-to-object positioning, in 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), Sendai, Japan, 2004.
C. Rubert, León, B., and Morales, A., Grasp quality metrics for robot hands benchmarking, in 2014 IEEE-RAS International Conference on Humanoid Robots, 2014, pp. 761-766.
J. L. Sancho-Bru, Mora, M. C., León, B., Pérez-González, A., Iserte, J. L., and Morales, A., Grasp modelling with a biomechanical model of the hand, Computer Methods in Biomechanics and Biomedical Engineering, pp. 1-14, 2012.
J. L. Sancho-Bru, Mora, M. C., León, B. E., Pérez-González, A., Iserte, J. L., and Morales, A., Grasp modelling with a biomechanical model of the hand, Computer Methods in Biomechanics and Biomedical Engineering, vol. 17, pp. 297-310, 2014.
E. Martinez-Martin and Escrig, M. T., A General Qualitative Spatio-Temporal Model Based on Intervals, in 25th International Workshop on Qualitative Reasoning (QR), Barcelona, Spain, 2011.
E. Martinez-Martin, Escrig, M. T., and del Pobil, A. P., A General Qualitative Spatio-Temporal Model Based on Intervals, Journal of Universal Computer Science, vol. 18, pp. 1343–1378, 2012.
E. Martinez-Martin, Escrig, M. T., and del Pobil, A. P., A General Framework for Naming Qualitative Models Based on Intervals, in Distributed Computing and Artificial Intelligence, Springer–Verlag Berlin Heidelberg, 2012, pp. 681-688.
E. Martinez-Martin and Escrig, M. T., A general approach for qualitative reasoning models based on intervals, in VIII Jornadas ARCA. Razonamiento Cualitativo y Aplicaciones. Robótica, Economía, Diagnosis y Clasificación, Peñíscola, Spain, 2006.
E. Martinez-Martin and Escrig, M. T., A general approach for qualitative reasoning models based on intervals, in Artificial Intelligence Research and Development, IOS Press, 2006, pp. 91–102.
F
A. Morales, Prats, M., and Recatala, G., A framework for using tactile data in autonomous reactive manipulation, in 13th IASTED International Conference Robotics and Applications (RA 2007), Würzburg (Germany), 2007.
P. Nebot and Cervera, E., A framework for the development of cooperative robotic applications. 2005, pp. 901-906.
F. Bonsignorio, del Pobil, A. P., and Messina, E., Fostering Progress in Performance Evaluation and Benchmarking of Robotic and Automation Systems [TC Spotlight], IEEE Robotics Automation Magazine, vol. 21, pp. 22-25, 2014.
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.
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.
G. Recatala, Sanz, P. J., Cervera, E., and del Pobil, A. P., Filter-based control of a gripper-to-object positioning movement, in 2004 Ieee International Conference on Systems, Man & Cybernetics, Vols 1-7, 2004, pp. 5423-5428.
G. Recatala, Sanz, P. J., Cervera, E., and del Pobil, A. P., Filter-based control of a gripper-to-object positioning movement, in 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), The Hague, Netherlands, 2004.
B. J. Grzyb, Chinellato, E., Wojcik, G. M., and Kaminski, W. A., Facial expression recognition based on Liquid State Machines built of alternative neuron models, in Proc. International Joint Conference on Neural Networks IJCNN 2009, 2009.

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