Wearable Technology for Robotic Manipulation and Learning
Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior withou
- PDF / 8,214,173 Bytes
- 219 Pages / 439.42 x 683.15 pts Page_size
- 76 Downloads / 185 Views
echnology for Robotic Manipulation and Learning
Wearable Technology for Robotic Manipulation and Learning
Bin Fang • Fuchun Sun • Huaping Liu • Chunfang Liu • Di Guo
Wearable Technology for Robotic Manipulation and Learning
Bin Fang Department of Computer Science and Technology Tsinghua University Beijing, Beijing, China
Fuchun Sun Department of Computer Science and Technology Tsinghua University Beijing, Beijing, China
Huaping Liu Department of Computer Science and Technology Tsinghua University Beijing, Beijing, China
Chunfang Liu Beijing University of Technology Beijing, Beijing, China
Di Guo Department of Computer Science and Technology Tsinghua University Beijing, Beijing, China
ISBN 978-981-15-5123-9 ISBN 978-981-15-5124-6 (eBook) https://doi.org/10.1007/978-981-15-5124-6 © Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, 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 publisher, 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 publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains 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
Through years of studies, much progress has been made in robotic learning and manipulation. However, smart, small, soft robotic manipulators remain a grand challenge, especially with robust learning capabilities across various sensing, learning, and manipulation modes. In recent years, wearable devices that are capable of capturing and delivering information in a smart and timely manner have attached much research interest. The integration of wearable devices with robots begins to demonstrate great promise in applications in industrial robots, medical robots, and service robots and is leading to a new avenue for next-generation smart robots. The field clearly needs a monograph in summarizing recent progress and advances. I am pleased to see this book edited by Drs. Bin Fang, Fuc
Data Loading...
