Machine Learning and Robot Perception

By: Bruno Apolloni (Editor), Ashish Ghosh (Editor), Ferda Alpaslan (Editor)

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Hardcover | 1 October 2005

At a Glance

Hardcover
366 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

Hardcover

$249.00

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Mathematical Theory of Computation Engineering & Technology Electronics & Communications Engineering Electronics Engineering Automatic Control Engineering Robotics Psychology Cognition & Cognitive Psychology Artificial Intelligence

Computer Vision Energy Technology & Engineering Electrical Engineering

Learning Visual Landmarks for Mobile Robot Topological Navigation	p. 1
Foveated Vision Sensor and Image Processing - A Review	p. 57
On-line Model Learning for Mobile Manipulations	p. 99
Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot	p. 137
Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking	p. 167
3-D Modeling of Real-World Objects Using Range and Intensity Images	p. 203
Perception for Human Motion Understanding	p. 265
Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory	p. 325
Table of Contents provided by Publisher. All Rights Reserved.

Machine Learning and Robot Perception

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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