Trends in Control and Decision-Making for Human–Robot Collaboration Systems

Editors: Wang, Yue, Zhang, Fumin (Eds.)

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  • Broadens readers’ understanding of the interactions between humans and robot systems
  • Shows the reader how principles of control theory can be applied to robotic systems of many types and applications
  • Summarizes the latest studies of several leading research groups in the field
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  • ISBN 978-3-319-40533-9
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Hardcover $179.99
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  • ISBN 978-3-319-40532-2
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Softcover $179.99
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  • ISBN 978-3-319-82124-5
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About this book

This book provides an overview of recent research developments in the automation and control of robotic systems that collaborate with humans. A measure of human collaboration being necessary for the optimal operation of any robotic system, the contributors exploit a broad selection of such systems to demonstrate the importance of the subject, particularly where the environment is prone to uncertainty or complexity. They show how such human strengths as high-level decision-making, flexibility, and dexterity can be combined with robotic precision, and ability to perform task repetitively or in a dangerous environment.

The book focuses on quantitative methods and control design for guaranteed robot performance and balanced human experience from both physical human-robot interaction and social human-robot interaction. Its contributions develop and expand upon material presented at various international conferences. They are organized into three parts covering:

  • one-human–one-robot collaboration;
  • one-human–multiple-robot collaboration; and
  • human–swarm collaboration.

Individual topic areas include resource optimization (human and robotic), safety in collaboration, human trust in robot and decision-making when collaborating with robots, abstraction of swarm systems to make them suitable for human control, modeling and control of internal force interactions for collaborative manipulation,  and the sharing of control between human and automated systems, etc. Control and decision-making algorithms feature prominently in the text, importantly within the context of human factors and the constraints they impose. Applications such as assistive technology, driverless vehicles, cooperative mobile robots, manufacturing robots and swarm robots are considered. Illustrative figures and tables are provided throughout the book.

Researchers and students working in controls, and the interaction of humans and robots will learn new methods for human–robot collaboration from this book and will find the cutting edge of the subject described in depth.

About the authors

Yue Wang received her B.S. degree in Mechanical Engineering from Shanghai University, China, in 2005 and M.S. and Ph.D. degrees in Mechanical Engineering from Worcester Polytechnic Institute in 2008 and 2011. She is an Assistant Professor in the Department of Mechanical Engineering at Clemson University. Prior to joining Clemson in 2012, she was a postdoctoral research associate in the Electrical Engineering Department at the University of Notre Dame. Her research interests include cooperative control and decision-making for human-robot collaboration systems, multi-agent systems, and control of cyber-physical systems. Dr. Wang received the National Science Foundation CAREER award and the Air Force Summer Faculty Fellowship in 2015, respectively. Her research has lead to 9 journal publications, 23 peer-reviewed conference papers, a book, and 2 book chapters. Dr. Wang is a member of IEEE, ASME, and AIAA. She is the co-chair for the IEEE Technical Committee on Manufacturing Automation and Robotic Control and organizers of several invited sessions in the American Control Conference.

Fumin Zhang is Associate Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He received a PhD degree in 2004 from the University of Maryland (College Park) in Electrical Engineering, and held a postdoctoral position in Princeton University from 2004 to 2007. His research interests include mobile sensor networks, maritime robotics, control systems, and theoretical foundations for cyber-physical systems. He received the NSF CAREER Award in September 2009, the Lockheed Inspirational Young Faculty Award in March 2010, the ONR Young Investigator Program Award in April 2010, and the GT Roger P. Webb Outstanding Junior Faculty Award in April 2011. He is currently serving as the co-chair for the IEEE RAS Technical Committee on Marine Robotics, and the chair for the IEEE CSS Technical Committee on Robotic Control and Manufacturing Automation.

Table of contents (16 chapters)

Table of contents (16 chapters)
  • Introduction

    Wang, Yue (et al.)

    Pages 1-13

  • Robust Shared-Control for Rear-Wheel Drive Cars

    Jiang, Jingjing (et al.)

    Pages 15-40

  • Baxter-On-Wheels (BOW): An Assistive Mobile Manipulator for Mobility Impaired Individuals

    Lu, Lu (et al.)

    Pages 41-63

  • Switchings Between Trajectory Tracking and Force Minimization in Human–Robot Collaboration

    Li, Yanan (et al.)

    Pages 65-81

  • Estimating Human Intention During a Human–Robot Cooperative Task Based on the Internal Force Model

    Noohi, Ehsan (et al.)

    Pages 83-109

Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-319-40533-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-40532-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.99
price for USA in USD
  • ISBN 978-3-319-82124-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Trends in Control and Decision-Making for Human–Robot Collaboration Systems
Editors
  • Yue Wang
  • Fumin Zhang
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-40533-9
DOI
10.1007/978-3-319-40533-9
Hardcover ISBN
978-3-319-40532-2
Softcover ISBN
978-3-319-82124-5
Edition Number
1
Number of Pages
XIX, 418
Number of Illustrations
52 b/w illustrations, 121 illustrations in colour
Topics