Machine Learning and Robot Perception
Author:   Bruno Apolloni ,  Ashish Ghosh ,  Ferda Alpaslan ,  Srikanta Patnaik
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2005
Volume:   7
ISBN:  

9783642065866


Pages:   354
Publication Date:   02 January 2013
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Machine Learning and Robot Perception


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.

Full Product Details

Author:   Bruno Apolloni ,  Ashish Ghosh ,  Ferda Alpaslan ,  Srikanta Patnaik
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2005
Volume:   7
Weight:   0.557kg
ISBN:  

9783642065866


ISBN 10:   3642065864
Pages:   354
Publication Date:   02 January 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Learning Visual Landmarks for Mobile Robot Topological Navigation.- Foveated Vision Sensor and Image Processing – A Review.- On-line Model Learning for Mobile Manipulations.- Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot.- Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking.- 3-D Modeling of Real-World Objects Using Range and Intensity Images.- Perception for Human Motion Understanding.- Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory.

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