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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. Martinez-Martin and del Pobil, A. P., Robust Object Recognition in Unstructured Environments, in Advances in Intelligent Systems and Computing, vol. 193, Springer International Publishing, 2013, pp. 705-714.
E. Martinez-Martin and del Pobil, A. P., Robust Motion Detection in Real-Life Scenarios. London: Springer, 2012.
B. J. Grzyb, Chinellato, E., Morales, A., and del Pobil, A. P., Robust grasping of 3{D} objects with stereo vision and tactile feedback, in Intl. Conf. on Climbing and Walking Robots, CLAWAR, Coimbra, Portugal, 2008.
E. Martinez-Martin and del Pobil, A. P., A Robust Dioptric Surveillance System, in The 10th Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras (OmniVis) in Robotics: Science and Systems (RSS), Zaragoza, Spain, 2010.
E. Martinez-Martin, Prats, M., del Pobil, A. P., and Sanz, P. J., Robots Behave in the Real World: Looking for books in a library, in Artificial Intelligence and Soft Computing, Acta Press, 2005, pp. 325–330.
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.
B. J. Grzyb, Castelló, V., and del Pobil, A. P., Reachable by walking: inappropriate integration of near and far space may lead to distance errors, in Proceedings of Post-Graduate Conference on Robotics and Development of Cognition (A satellite Event of the International Conference on Artificial Neural Networks - ICANN 2012)., 2012.
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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.
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., A Qualitative Acceleration Model Based on Intervals, ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, vol. 1, no. 5, pp. 17–23, 2013.