El principio de igualdad y no discriminación en relación con la pensión de viudedad y el «matrimonio gitano»

El punto de partida de nuestro estudio se sitúa en el polémico y discutido asunto resuelto por la sentencia del Tribunal Europeo de Derechos Humanos de 8 de diciembre de 2009, Caso Muñoz Díaz c. España, donde se condena al Estado español por denegar la pensión de viudedad a una ciudadana casada exclusivamente por el rito matrimonial gitano. Al hilo de esta resolución analizaremos, entre otras cuestiones, las diversas formas matrimoniales a las que nuestro legislador otorga efectos civiles, la incidencia de dichas disposiciones en el principio de igualdad y no discriminación consagrado en el artículo 14 de la Constitución y en el artículo 14 del Convenio Europeo de Derechos Humanos, y la posible vulneración de dicho principio en el marco de las prestaciones sociales reguladas en la Ley General de la Seguridad Social, recientemente reformada.

Decomposition of human behavior using model of competencies: application to robotic control system

For many years, humans and machines have shared the same physical space. To facilitate their interaction with humans, their social integration and for more rational behavior has been sought that the robots demonstrate human-like behavior. For this it is necessary to understand how human behavior is generated, discuss what tasks are performed and how relate to themselves, for subsequent implementation in robots. In this paper, we propose a model of competencies based on human neuroregulator system for analysis and decomposition of behavior into functional modules. Using this model allow separate and locate the tasks to be implemented in a robot that displays human-like behavior. As an example, we show the application of model to the autonomous movement behavior on unfamiliar environments and its implementation in various simulated and real robots with different physical configurations and physical devices of different nature. The main result of this work has been to build a model of competencies that is being used to build robotic systems capable of displaying behaviors similar to humans and consider the specific characteristics of robots.

3D visual sensing of human hand for remote operation of a robotic hand

New low cost sensors and open free libraries for 3D image processing are making important advances in robot vision applications possible, such as three-dimensional object recognition, semantic mapping, navigation and localization of robots, human detection and/or gesture recognition for human-machine interaction. In this paper, a novel method for recognizing and tracking the fingers of a human hand is presented. This method is based on point clouds from range images captured by a RGBD sensor. It works in real time and it does not require visual marks, camera calibration or previous knowledge of the environment. Moreover, it works successfully even when multiple objects appear in the scene or when the ambient light is changed. Furthermore, this method was designed to develop a human interface to control domestic or industrial devices, remotely. In this paper, the method was tested by operating a robotic hand. Firstly, the human hand was recognized and the fingers were detected. Secondly, the movement of the fingers was analysed and mapped to be imitated by a robotic hand.