Machine Learning and Robot Perception (Hardcover)

Bruno Apolloni

ISBN 10: 354026549X / ISBN 13: 9783540265498

Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2005

About this Item

Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783540265498

Bibliographic Details

• Title: Machine Learning and Robot Perception (Hardcover)
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Publication Date: 2005
• Language: English
• ISBN 10: 354026549X
• ISBN 13: 9783540265498
• Binding: Hardcover
• Condition: new

About this title

Synopsis

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.