992 resultados para MOBILE ROBOTICS


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Recently, researchers have introduced the notion of super-peers to improve signaling efficiency as well as lookup performance of peer-to-peer (P2P) systems. In a separate development, recent works on applications of mobile ad hoc networks (MANET) have seen several proposals on utilizing mobile fleets such as city buses to deploy a mobile backbone infrastructure for communication and Internet access in a metropolitan environment. This paper further explores the possibility of deploying P2P applications such as content sharing and distributed computing, over this mobile backbone infrastructure. Specifically, we study how city buses may be deployed as a mobile system of super-peers. We discuss the main motivations behind our proposal, and outline in detail the design of a super-peer based structured P2P system using a fleet of city buses.

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This paper describes the successful implementation of a prototype software application that independently and proactively detects whether a mobile phone is lost or misused. When the mobile phone is detected as being lost or misused, the application takes steps to mitigate the impact of loss and to gather evidence. The goal is to aid in the recovery of the mobile phone. The prototype works regardless of the cellular infrastructure the mobile phone is operating in and makes minimum demands on the owner of the mobile phone. The prototype was developed on Nokia 6600 mobile phones that run Symbian Operating System 7.0s. Development was done using Nokia’s Series 60 Developer’s Platform 2.0.

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En la actualidad el proyecto gvSIG se encuentra en una etapa bastante avanzada. La aplicación ya posee múltiples funcionalidades que la convierten en una herramienta de referencia dentro del mundo de SIG, especialmente en ambientes opensource. En este momento, en que gvSIG es una aplicación consolidada sobre equipos de sobremesa, surge la necesidad de ampliar las plataformas de ejecución de gvSIG a una gama de dispositivos móviles, para dar respuesta a las necesidades de un creciente número de usuarios de soluciones móviles que desean hacer uso de un SIG en diferentes tipos de dispositivos. De esta manera el universo de gvSIG se verá ampliado al dotarlo de todas las ventajas de utilización en una amplia gama de dispositivos. Se va a describir el alcance previsto del proyecto gvSIG Mobile, la situación actual y una introducción tecnológica a las características del desarrollo de la aplicación sobre la plataforma J2ME

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L’objectiu d’aquest projecte/treball fi de carrera es estudiar els propulsors i el seu protocol de comunicació proporcionant informació útil a l’hora de dissenyar i construir el robot subaquàtic que implementi els propulsors

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Inicialmente integrada en el piloto de gvSIG Mobile, la librería libLocation tiene como objetivo dotar a los proyectos gvSIG Desktop y gvSIG Mobile un acceso transparente a fuentes de localización. La librería se fundamenta en las especificaciones JSR-179 -API de localización para J2ME- y JSR-293 -API de localización para J2ME v2.0-, proporcionando una interfaz uniforme a diferentes fuentes de localización, mediante funciones de alto nivel. Asimismo, se extiende la funcionalidad de estas APIs para permitir la gestión de datos específicos del tipo de fuente de localización y el ajuste de parámetros de bajo nivel, además de incorporar métodos de localización adicionales, como la aplicación de correcciones vía protocolo NTRIP. La librería libLocation está actualmente en proceso de desarrollo y será publicada y liberada junto con la versión definitiva de gvSIG Mobile. Junto con libLocation se están desarrollando extensiones que permiten el acceso a esta librería desde gvSIG Desktop y gvSIG Mobile

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gvSIG Mobile, la versión de gvSIG para dispositivos móviles presenta su nueva versión que incluye las esperadas funcionalidades de creación de nuevas entidades geográficas y utilización de formularios personalizados para edición de datos, además de nuevos formatos de datos vectoriales (GML, KML, GPX) y sistemas de referencia. Funcionalidades que se suman a las capacidades de visor de cartografía (ECW, SHP, WMS) y sistema de localización mediante GPS que ya posee. gvSIG Mobile está siendo desarrollado por Prodevelop, la Universitat de València e Iver para la Conselleria d’Infraestructures i Transport de la Generalitat Valenciana y se distribuye con una licencia GPL

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The estimation of camera egomotion is a well established problem in computer vision. Many approaches have been proposed based on both the discrete and the differential epipolar constraint. The discrete case is mainly used in self-calibrated stereoscopic systems, whereas the differential case deals with a unique moving camera. The article surveys several methods for mobile robot egomotion estimation covering more than 0.5 million samples using synthetic data. Results from real data are also given

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This paper presents a vision-based localization approach for an underwater robot in a structured environment. The system is based on a coded pattern placed on the bottom of a water tank and an onboard down looking camera. Main features are, absolute and map-based localization, landmark detection and tracking, and real-time computation (12.5 Hz). The proposed system provides three-dimensional position and orientation of the vehicle along with its velocity. Accuracy of the drift-free estimates is very high, allowing them to be used as feedback measures of a velocity-based low-level controller. The paper details the localization algorithm, by showing some graphical results, and the accuracy of the system

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Addresses the problem of estimating the motion of an autonomous underwater vehicle (AUV), while it constructs a visual map ("mosaic" image) of the ocean floor. The vehicle is equipped with a down-looking camera which is used to compute its motion with respect to the seafloor. As the mosaic increases in size, a systematic bias is introduced in the alignment of the images which form the mosaic. Therefore, this accumulative error produces a drift in the estimation of the position of the vehicle. When the arbitrary trajectory of the AUV crosses over itself, it is possible to reduce this propagation of image alignment errors within the mosaic. A Kalman filter with augmented state is proposed to optimally estimate both the visual map and the vehicle position

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Path planning and control strategies applied to autonomous mobile robots should fulfil safety rules as well as achieve final goals. Trajectory planning applications should be fast and flexible to allow real time implementations as well as environment interactions. The methodology presented uses the on robot information as the meaningful data necessary to plan a narrow passage by using a corridor based on attraction potential fields that approaches the mobile robot to the final desired configuration. It employs local and dense occupancy grid perception to avoid collisions. The key goals of this research project are computational simplicity as well as the possibility of integrating this method with other methods reported by the research community. Another important aspect of this work consist in testing the proposed method by using a mobile robot with a perception system composed of a monocular camera and odometers placed on the two wheels of the differential driven motion system. Hence, visual data are used as a local horizon of perception in which trajectories without collisions are computed by satisfying final goal approaches and safety criteria

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This work extends a previously developed research concerning about the use of local model predictive control in differential driven mobile robots. Hence, experimental results are presented as a way to improve the methodology by considering aspects as trajectory accuracy and time performance. In this sense, the cost function and the prediction horizon are important aspects to be considered. The aim of the present work is to test the control method by measuring trajectory tracking accuracy and time performance. Moreover, strategies for the integration with perception system and path planning are briefly introduced. In this sense, monocular image data can be used to plan safety trajectories by using goal attraction potential fields

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Obtaining automatic 3D profile of objects is one of the most important issues in computer vision. With this information, a large number of applications become feasible: from visual inspection of industrial parts to 3D reconstruction of the environment for mobile robots. In order to achieve 3D data, range finders can be used. Coded structured light approach is one of the most widely used techniques to retrieve 3D information of an unknown surface. An overview of the existing techniques as well as a new classification of patterns for structured light sensors is presented. This kind of systems belong to the group of active triangulation method, which are based on projecting a light pattern and imaging the illuminated scene from one or more points of view. Since the patterns are coded, correspondences between points of the image(s) and points of the projected pattern can be easily found. Once correspondences are found, a classical triangulation strategy between camera(s) and projector device leads to the reconstruction of the surface. Advantages and constraints of the different patterns are discussed

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This paper shows the impact of the atomic capabilities concept to include control-oriented knowledge of linear control systems in the decisions making structure of physical agents. These agents operate in a real environment managing physical objects (e.g. their physical bodies) in coordinated tasks. This approach is presented using an introspective reasoning approach and control theory based on the specific tasks of passing a ball and executing the offside manoeuvre between physical agents in the robotic soccer testbed. Experimental results and conclusions are presented, emphasising the advantages of our approach that improve the multi-agent performance in cooperative systems

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This paper discusses predictive motion control of a MiRoSoT robot. The dynamic model of the robot is deduced by taking into account the whole process - robot, vision, control and transmission systems. Based on the obtained dynamic model, an integrated predictive control algorithm is proposed to position precisely with either stationary or moving obstacle avoidance. This objective is achieved automatically by introducing distant constraints into the open-loop optimization of control inputs. Simulation results demonstrate the feasibility of such control strategy for the deduced dynamic model

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Pachler (2008) A socio-cultural ecology of mobile learning