Robot Intelligence An Advanced Knowledge Processing Approach
Robot Intelligence is an exciting interdisciplinary field including engineering, information technology, machine learning, biological science and psychology. Its dramatic growth in practical applications is driven by both real-world requirements and matur
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Honghai Liu Dongbing Gu Robert J. Howlett Yonghuai Liu
Editors
Robot Intelligence An Advanced Knowledge Processing Approach
Editors Dr. Honghai Liu University of Portsmouth Institute of Industrial Research PO1 3QL Portsmouth UK [email protected] Prof. Dr. Dongbing Gu University of Essex Department of Computer Sc Wivenhoe Park CO4 3SQ Colchester UK [email protected]
Dr. Robert J. Howlett University Brighton School of Engineering Intelligent Signal Processing Laboratories (ISP) Moulsecoomb BN2 4GJ Brighton UK [email protected] Prof. Dr. Yonghuai Liu Aberystwyth University Department of Computer Science Ceredigion SY23 3DB Aberystwyth UK
AI&KP ISSN 1610-3947 ISBN 978-1-84996-328-2 e-ISBN 978-1-84996-329-9 DOI 10.1007/978-1-84996-329-9 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2010931521 © Springer-Verlag London Limited 2010 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
With the growing integration of machine learning techniques into robotics research, there is a need to address this trend in the context of robot intelligence. The multidisciplinary nature of robot intelligence provides a realistic platform for robotics researchers to apply machine learning techniques. One of the principal purposes of this book is to promote idea exchanges and interactions between different communities, which are beneficial and bringing fruitful solutions. Especially when the tasks robots are programmed to achieve become more and more complex, imprecise perception of the environments renders a difficult deliberative control strategy applied for robots for so many years. Understanding the environment where robots operate and then controlling robots gradually rely on machine learning techniques. It is more likely to better off with embedding con
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