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Flexonics for Manufacturing and Robotics

Modeling, Design and Analysis Methods

  • Book
  • © 2019

Overview

  • Discusses the fundamentals of modeling, designing and analyzing flexible/soft robots and intelligent manufacturing
  • Includes original simulatoins for a better understanding of the methods and examples presented
  • Presents illustrative applications from funded research and industrial projects

Part of the book series: Research on Intelligent Manufacturing (REINMA)

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Table of contents (7 chapters)

Keywords

About this book

This book presents the theoretical research and application results of a study on flexible mechatronics (flexonics). Formulating distributed models in both time and spatial domains using a geometric approach, it presents a simple yet practical field-based sensing method for robotics and manufacturing, and illustrates its applications with examples such as exoskeletons, mobile sensor network and intelligent sensing.
The book is of interest to researchers, engineers and graduate students in robotics, manufacturing and automation engineering who wish to learn the core principles, theories, technologies, and applications of flexonics.


Authors and Affiliations

  • School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Jiajie Guo

  • The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology , Atlanta, USA

    Kok-Meng Lee

About the authors

Jiajie Guo received the B.S. degree from the Department of Mechanics and Engineering Science at Peking University, Beijing, in 2006, and M.S. and Ph.D. degrees from Mechanical Engineering, Georgia Institute of Technology, Atlanta, in 2009 and 2011, respectively. He is currently an Associate Professor in the State Key Laboratory of Digital Manufacturing and Equipment and the School of Mechanical Science and Engineering at Huazhong University of Science and Technology, Wuhan, China. He is an IEEE and ASME member, and a program committee member of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics. His current research interests include human-centered robotics, flexible mechatronics, manufacturing and system dynamics/control. He has published more than thirty peer-reviewed technical papers in journals and conferences, and has been awarded the best paper award from IEEE/ASME Transactions on Mechatronics in 2015.

Kok-Meng Lee earnedhis B.S. degree from the University of Buffalo, the State University of New York, Buffalo, NY, USA, in 1980, and S. M. and Ph. D. degrees from Massachusetts Institute of Technology, Cambridge, MA, USA, in 1982 and 1985, respectively. He is currently Professor of Mechanical Engineering at Georgia Institute of Technology, Atlanta, GA, USA. He is also Distinguished Professor with the State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, China, under Thousand Talents Plan. 
Prof. Lee’s research interests include system dynamics/control, robotics, automation, and mechatronics. He is a world renowned researcher with more than 30 years of research experience in magnetic field modeling and design, optimization and implementation of electromagnetic actuators. He has published over 150 peer-reviewed papers and he holds eight patents in machine vision, three degrees of freedom (DOF) spherical motor/encoder, and live-bird handling system. He is IEEE/ASME Fellow and was the Editor-in-Chief for the IEEE/ASME Transactions on Mechatronics from 2008 to 2013. Recognitions of his research contributions include the National Science Foundation (NSF) Presidential Young Investigator, Sigma Xi Junior Faculty Research, International Hall of Fame New Technology, and Kayamori Best Paper awards.  



Bibliographic Information

  • Book Title: Flexonics for Manufacturing and Robotics

  • Book Subtitle: Modeling, Design and Analysis Methods

  • Authors: Jiajie Guo, Kok-Meng Lee

  • Series Title: Research on Intelligent Manufacturing

  • DOI: https://doi.org/10.1007/978-981-13-2667-7

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Huazhong University of Science and Technology Press, Wuhan and Springer Nature Singapore Pte Ltd. 2019

  • Hardcover ISBN: 978-981-13-2666-0Published: 17 January 2019

  • eBook ISBN: 978-981-13-2667-7Published: 31 December 2018

  • Series ISSN: 2523-3386

  • Series E-ISSN: 2523-3394

  • Edition Number: 1

  • Number of Pages: XXIV, 186

  • Number of Illustrations: 17 b/w illustrations, 127 illustrations in colour

  • Additional Information: Jointly published with Huazhong University of Science and Technology Press, Wuhan, China

  • Topics: Robotics and Automation, Manufacturing, Machines, Tools, Processes, Mechatronics

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