in spanishEl proyecto tiene como objetivo general el mantenimiento preventivo de la maquinaria industrial del proceso de laminación en caliente de la fábrica de Acerinox Europa S.A.U. en su Factoría de Palmones-Los Barrios (Cádiz), a través del desarrollo de una nueva plataforma de análisis de datos.

 

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CRUMB (Cognitive-Robotics-sUpporting Mobile Base). The goal of CRUMB is to acquire a relatively low-cost mobile manipulator robot that serves to implement several ideas on cognitive robotics. Most part of the project will deal with setting up both the software and hardware of the robot and implementing tools that boost future research.
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ARGOS (Autonomous Robot for Gas and Oil Sites) is the first robotics challenge launched by the international oil and gas company Total, in partnership with the French National Research Agency (ANR). The objective is to foster the development of advanced robotic capabilities in oil and gas environments. The program focuses on robot systems which can safely operate in complete or supervised autonomy over the entire onshore or offshore production site, potentially in hazardous explosive atmospheres. This challenge involves 5 teams, from which we colaborate with the one designated as FOXIRIS (Flipper-based Oil and Gas ATEX Intelligent Robotics System).
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This project aims at stepping forward to the development of personal robots able to serve elder people at home, who can benefit gaining in independence and quality of life. In this context, the research work will address some of the drawbacks found in the current robotic prototypes, like reliability and safety in home environments, proactivity and human-robot interaction. Thus, the project will face the design and implementation of new algorithms for robot perception and navigation, tailored to the particularities of the application, and will work towards endowing the robot with the required robustness and safety for live-long operation. Also, the robot will be provided with personal services for the user, i.e., measurement of physiological parameters, videoconferencing, access to internet, agendas, mail, etc. 

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Olfaction is a valuable source of information about the environment that has not been sufficiently exploited in mobile robotics yet. We claim that data provided by e-noses may have an important added-value when combined with other sensing modalities (particularly, vision), and also when olfaction is integrated into the robot high-level processes. This project aims at advancing into this direction by investigating mechanisms to use odor information (both the type of volatile and its concentration) in problems such as object recognition and scene-activity understanding. In this research we will pay special attention to the role of semantics within the robot perception and decisión-making processes. Through this approach we expect to improve the robot capabilities in terms of effciency, autonomy and usefulness

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Despite the significant progress in mobile robotics in the last years there are still major technical questions to be solved before having real autonomous robots at home. This project addresses some of them which, being not exclusive for this kind of scenario, acquire particular relevance here because of the importance of interacting with (non-expert) humans, the particularities of the environment, and the “digital“ services that the robot can provide in it.  Concretely, we aim at three targets: 1) improving dependability of the robot motion, 2) integrating and exploiting semantics to improve robot autonomy and interaction with human, and 3) developing a robot software architecture that can manage Ambient Assisted Living services related to entertainment, domotics, social networking, safety, etc.

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The Giraff+ project aims at developing a system consisting of a network of home sensors that can be automatically configured to collect data for a range of monitoring services; a semi-autonomous telepresence robot; a sophisticated context recognition system that can give high-level and long term interpretations of the collected data and respond to certain events; and personalized services delivered through adaptive user interfaces for primary users.

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The main objective of ExCITE project is to evaluate user requirements of social interaction that enables embodiment through robotic telepresence. This evaluation is performed in situ, on a PanEuropean scale and with a longitudinal perspective. An existing prototype is deployed to the targeted endusers, and is refined by tightly involving the users in the development cycles of the prototype hroughout the project.

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in spanish Una de las operaciones que habitualmente deben realizar los técnicos durante la perforación de un túnel, y en general en cualquier obra, es el replanteo. Replantear tiene por objeto trasladar fielmente al terreno las dimensiones y formas indicadas en la documentación técnica de la obra. Para el caso particular de la construcción de túneles, mediante el replanteo se materializan y señalizan los puntos de apoyo, puntos de referencia y de control de la obra tanto en la bóveda como en los hastiales o en la rasante de la excavación. Para ello se suelen utilizar clavos metálicos o marcas de pintura, que sirven como referencias planimétricas y/o altimétricas.

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in spanish El objetivo de este proyecto es el desarrollo de un sistema basado en vehículos automatizados que permitan realizar un análisis integral del estado de las carreteras en diversos aspectos, incluyendo: el estado de deterioro del firme, medidas cuantitativas y precisas sobre su deformación, y un inventario de los elementos susceptibles de mantenimiento existentes, como señales de tráfico, pintura de señalización o barreras de las medianas.


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This project addresses the problem of providing a mobile robot with olfaction capability to recognize and estimate odor concentrations in the environment. This information, combined with that provided by other sensors (cameras, laser scanner, etc..) will be used in robot navigation and operation tasks in applications such as monitoring and controlling of abnormal levels of gas contaminants, gas leak detection, searching gas emission sources, studying distribution of gaseous substances, etc.

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Map building is undoubtedly one of the pillars for mobile robot autonomous operation. In practice, since the world is not completely known and/or is dynamic, the mapping process is inevitable coupled to robot localization, and as a result, both problems must be addressed jointly (the SLAM problem). In this project we aim at the construction of maps of large space from visual observations taken by a mobile robot equipped with a stereo rig and also with an omnidirectional camera.

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This project addresses the remote control of mobile robots in situations where some components of the system are non-deterministic in time or incompletely modelled. These components include the communication network, the robot hardware and the software used in all the parts of the system (operating systems, middleware, applications). The fundamental problem with unpredictable components is to guarantee that all the information flows through the control loop in a timely fashion, guaranteeing to the most the achievement of real-time requirements.

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