Apolloni Machine Learning and Robot Perception

Machine Learning and Robot Perception

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Beschreibung

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.


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.


Presents some of the most recent research results in the area of machine learning and robot perception Includes supplementary material: sn.pub/extras

Autor*in

Bruno Apolloni

Themen in »Machine Learning and Robot Perception«

Navigation Tracking computer computer vision image processing intelligent object learning machine machine learning mobile robot model modeling perception reinforcement learning robot

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Details

ISBN: 9783642065866
Verlag: Springer Berlin
Erscheinung: 02.01.2013

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