73 research outputs found

    Intelligent control of mobile robot with redundant manipulator & stereovision: quantum / soft computing toolkit

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    The task of an intelligent control system design applying soft and quantum computational intelligence technologies discussed. An example of a control object as a mobile robot with redundant robotic manipulator and stereovision introduced. Design of robust knowledge bases is performed using a developed computational intelligence – quantum / soft computing toolkit (QC/SCOptKBTM). The knowledge base self-organization process of fuzzy homogeneous regulators through the application of end-to-end IT of quantum computing described. The coordination control between the mobile robot and redundant manipulator with stereovision based on soft computing described. The general design methodology of a generalizing control unit based on the physical laws of quantum computing (quantum information-thermodynamic trade-off of control quality distribution and knowledge base self-organization goal) is considered. The modernization of the pattern recognition system based on stereo vision technology presented. The effectiveness of the proposed methodology is demonstrated in comparison with the structures of control systems based on soft computing for unforeseen control situations with sensor system

    Generación de trayectorias para un robot móvil empleando redes neuronales

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    En este artículo se presenta una metodología de navegación de robots móviles en ambientes estructurados, utilizando Redes Neuronales Artificiales del tipo propagación hacia atras. Para la generación de la trayectoria optima se realiza la clasificación de superficies típicas de ambientes de robótica móvil, utilizando la base de datos obtenida de un anillo de sensores ultrasónicos. Se diseña las interfaces graficas, tanto para generar las bases de datos de las superficies, como para generar la trayectoria optima que le permita al robot desplazarse de un punto inicial a un punto final llamado objetivo.In this paper a methodology for navigation of a mobile robot in structured environments is presented. This methodology uses backpropagation neural network- to generate the optimal trajectory based of previously classification of typical surfaces of robotics environments. For the classification to use a database obtained from a ring of ultrasonic sensors. The graphical interfaces is designed, both to generate databases of surfaces, such as to generate the optimal trajectory that allows the robot to move from a starting point to goal point

    Using Fuzzy Logic to Enhance Stereo Matching in Multiresolution Images

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    Stereo matching is an open problem in Computer Vision, for which local features are extracted to identify corresponding points in pairs of images. The results are heavily dependent on the initial steps. We apply image decomposition in multiresolution levels, for reducing the search space, computational time, and errors. We propose a solution to the problem of how deep (coarse) should the stereo measures start, trading between error minimization and time consumption, by starting stereo calculation at varying resolution levels, for each pixel, according to fuzzy decisions. Our heuristic enhances the overall execution time since it only employs deeper resolution levels when strictly necessary. It also reduces errors because it measures similarity between windows with enough details. We also compare our algorithm with a very fast multi-resolution approach, and one based on fuzzy logic. Our algorithm performs faster and/or better than all those approaches, becoming, thus, a good candidate for robotic vision applications. We also discuss the system architecture that efficiently implements our solution

    TOWARDS SUSTAINABLE AUTONOMOUS VEHICLES

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    Ph.DDOCTOR OF PHILOSOPH
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