Machine Learning and Robot Perception

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforce...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Apolloni, Bruno (Editor ), Ghosh, Ashish (Editor ), Alpaslan, Ferda (Editor ), Patnaik, Srikanta (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Studies in Computational Intelligence, 7
Temas:
Control engineering.
Robotics.
Automation.
Artificial intelligence.
Control, Robotics, Automation.
Artificial Intelligence.
Acceso en línea:Texto Completo
Descripción
Sumario:This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.
Descripción Física:X, 354 p. online resource.
ISBN:9783540324096
ISSN:1860-9503 ;

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