Machine Learning and Robot Perception / Edition 1

Machine Learning and Robot Perception / Edition 1

by Bruno Apolloni
     
 

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

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Overview

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.

Product Details

ISBN-13:
9783540265498
Publisher:
Springer Berlin Heidelberg
Publication date:
10/28/2005
Series:
Studies in Computational Intelligence Series, #7
Edition description:
2005
Pages:
354
Product dimensions:
6.40(w) x 9.50(h) x 1.10(d)

Table of Contents

1Learning visual landmarks for mobile robot topological navigation1
2Foveated vision sensor and image processing - a review57
3On-line model learning for mobile manipulations99
4Continuous reinforcement learning algorithm for skills learning in an autonomous mobile robot137
5Efficient incorporation of optical flow into visual motion estimation in tracking167
63-D modeling of real-world objects using range and intensity images203
7Perception for human motion understanding265
8Cognitive user modeling computed by a proposed dialogue strategy based on an inductive game theory325

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