Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine lear
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
Xiaochun Wang Xiali Wang Don Mitchell Wilkes •
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
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Xiaochun Wang School of Software Engineering Xi’an Jiaotong University Xi’an, Shaanxi, China
Xiali Wang School of Information Engineering Chang’an University Xi’an, Shaanxi, China
Don Mitchell Wilkes Department of Electrical Engineering and Computer Science Vanderbilt University Nashville, TN, USA
ISBN 978-981-13-9216-0 ISBN 978-981-13-9217-7 https://doi.org/10.1007/978-981-13-9217-7
(eBook)
Jointly published with Xi’an Jiaotong University Press The print edition is not for sale in China. Customers from China please order the print book from: Xi’an Jiaotong University Press. © Xi’an Jiaotong University Press 2020 This work is subject to copyright. All rights are reserved by the Publishers, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publishers, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publishers nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publishers remain neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Foreword
Learning is an active research topic in robotics. Evidence from cognitive sciences shows that the working memory in primate brains plays a crucial role in the learning process, in part by fixing attention on the most relevant data. Autonomous mobile robot navigation sets out enormous theoretical and applied challenges to advanced robotic systems using machine learning techniques. This monograph addresses mobile robot localization in an unknown environment by machine learning based natural scene recognition. Unlike human brain, artificial information systems often follow human instructions with regard to how they should work
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