{"id":110776,"date":"2011-07-09T00:00:00","date_gmt":"2011-07-09T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/machine-learning-techniques-for-mobile-robots-behaviours-generation\/"},"modified":"2011-07-09T00:00:00","modified_gmt":"2011-07-09T00:00:00","slug":"machine-learning-techniques-for-mobile-robots-behaviours-generation","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/machine-learning-techniques-for-mobile-robots-behaviours-generation\/","title":{"rendered":"Machine learning techniques for mobile robots behaviours generation"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Jes\u00fas Martinez Gomez <\/strong><\/h2>\n<p>La tesis de nombre machine learning techniques for mobile robots behaviour generation  aborda el uso de t\u00e9cnicas de aprendizaje autom\u00e1tico, as\u00ed como de reconocimiento de patrones, para la generaci\u00f3n autom\u00e1tica de comportamientos para robots m\u00f3viles.  las contribuciones que se presentan en la tesis est\u00e1n relacionadas con el procesamiento de im\u00e1genes para robots m\u00f3viles y el problema de autolocalizaci\u00f3n.  la autolocalizaci\u00f3n de robots es un problema clave en el desarrollo de robots completamente aut\u00f3nomos. Para poder localizarse, un robot accede a dos distintas fuentes de informaci\u00f3n: odometr\u00eda y observaciones. La odometr\u00eda proporciona al robot, de forma incremental, informaci\u00f3n relativa a los movimientos que este realiza en el entorno. Las observaciones aportan informaci\u00f3n relativa a la localizaci\u00f3n del robot y son adquiridas a trav\u00e9s de los distintos sensores con lo que el robot est\u00e1 equipado. Dado que las c\u00e1maras de visi\u00f3n son el principal sensor del robot, la forma de obtener informaci\u00f3n de localizaci\u00f3n desde las observaciones es utilizar t\u00e9cnicas de procesamiento de im\u00e1genes.   en esta tesis se proporciona un amplio estudio sobre el uso de aprendizaje autom\u00e1tico para desarrollar algoritmos de procesamiento de im\u00e1genes y localizaci\u00f3n. En relaci\u00f3n con el procesamiento de im\u00e1genes, proponemos el uso de algoritmos gen\u00e9ticos para la detecci\u00f3n de objetos en tiempo real, as\u00ed como diversos clasificadores que estimen la calidad de las im\u00e1genes capturadas.   el problema de localizaci\u00f3n se aborda utilizando dos puntos de vista: localizaci\u00f3n topol\u00f3gica y clasificaci\u00f3n de espacios visuales. La localizaci\u00f3n topol\u00f3gica asume que se puede obtener con anterioridad un mapa del entorno y nuestras propuestas plantean el uso de la calidad de las im\u00e1genes para integrar de forma efectiva odometr\u00eda y observaciones. La clasificaci\u00f3n de espacios visuales consiste en clasificar im\u00e1genes adquiridas por un robot utilizando para ello \u00e1reas sem\u00e1nticas. Las propuestas planteadas para su resoluci\u00f3n se basan en el uso de t\u00e9cnicas de clustering y m\u00e1quinas de vector de soporte. El procesamiento visual se basa en el uso de caracter\u00edsticas invariantes y descriptores visuales.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Machine learning techniques for mobile robots behaviours generation<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Machine learning techniques for mobile robots behaviours generation <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Jes\u00fas Martinez Gomez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Castilla-la mancha<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 07\/09\/2011<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Jos\u00e9 Antonio Gamez Martin<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: vicente Matell\u00e1n olivera <\/li>\n<li>Miguel angel Cazorla quevedo (vocal)<\/li>\n<li>pablo Bustos garcia de castro (vocal)<\/li>\n<li>barbara Caputo (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Jes\u00fas Martinez Gomez La tesis de nombre machine learning techniques for mobile robots behaviour generation aborda el [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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