Publications

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E. Martinez-Martin and del Pobil, A. P., A Hybrid Algorithm for Motion Segmentation, in Signal and Image Processing, Acta Press, 2010, pp. 117–124.
E. Martinez-Martin, Computer Vision Methods for Robot Tasks: Motion Detection, Depth Estimation and Tracking, AI Communications, vol. 25, pp. 373–375, 2012.
E. Martinez-Martin and del Pobil, A. P., Visual Surveillance for Human-Robot Interaction, in IEEE International Conference on Systems, Man and Cybernetics (SMC), Seoul, Korea, 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 and del Pobil, A. P., A dioptric stereo system for robust real-time tracking in dynamic unknown environments, in Workshop on Omnidirectional Robot Vision in International Conference on Simulation, Modeling and Programming for Autonomous Robots, Venice, Italy, 2008.
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.
E. Martinez-Martin and del Pobil, A. P., Object Recognition for Robot Tasks: An Overview, in Robotics: New Research, Nova Science Publishers, 2016.
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, 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, Escrig, M. T., and del Pobil, A. P., Naming Qualitative Models Based on Intervals: A General Framework, International Journal of Artificial Intelligence, vol. A13, no. 11, pp. 74–92, 2013.
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 and del Pobil, A. P., Robust Motion Detection in Real-Life Scenarios. London: Springer, 2012.
E. Martinez-Martin and del Pobil, A. P., A dioptric stereo system for robust real-time people tracking, in Workshop on People Detection and Tracking in IEEE International Conference on Robotics and Automation (ICRA 2009), Kobe, Japan, 2009.
E. Martinez-Martin, Chinellato, E., and del Pobil, A. P., A visual application for studying cooperative behaviours, in Visualization, Imaging and Image Processing, Acta Press, 2007, pp. 70–75.
E. Martinez-Martin and del Pobil, A. P., Conflict Resolution in Robotics: An Overview, in Interdisciplinary Perspectives on Contemporary Conflict Resolution, Hershey: IGI Global, 2016, pp. 263-278.
E. Martinez-Martin and del Pobil, A. P., Towards Safe Interactions with a Sturdy Humanoid Robot, in The Seventh IARP Workshop on Technical Challenges for Dependable Robots in Human Environments (DRHE2010), Tolouse, France, 2010.
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 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, 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.
P. Martinet and Cervera, E., Stacking Jacobians properly in stereo visual servoing, in 2001 Ieee International Conference on Robotics and Automation, Vols I-Iv, Proceedings, 2001, pp. 717-722.

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