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Neural Networks for Cooperative Control of Multiple Robot Arms

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  • © 2018
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Overview

Authors:
  1. Shuai Li

    1. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

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    You can also search for this author in PubMed   Google Scholar

  2. Yinyan Zhang

    1. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

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    You can also search for this author in PubMed   Google Scholar

  • Is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models
  • Includes both theoretical analyses of the models and simulated examples of industrial robot arms
  • Is suitable for undergraduate and postgraduate students, as well as academic and industrial researchers from various fields of neural networks, robotics, control, simulation and modeling
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-xv
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  2. Neural Networks Based Single Robot Arm Control for Visual Servoing

    • Shuai Li, Yinyan Zhang
    Pages 1-11
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  3. Neural Networks for Robot Arm Cooperation with a Star Control Topology

    • Shuai Li, Yinyan Zhang
    Pages 13-30
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  4. Neural Networks for Robot Arm Cooperation with a Hierarchical Control Topology

    • Shuai Li, Yinyan Zhang
    Pages 31-48
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  5. Neural Networks for Robot Arm Cooperation with a Full Distributed Control Topology

    • Shuai Li, Yinyan Zhang
    Pages 49-74
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Keywords

About this book

This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.

Authors and Affiliations

  • Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

    Shuai Li, Yinyan Zhang

About the authors

Shuai Li received the B.E. degree in Precision Mechanical Engineering from Hefei University of Technology, China in 2005, the M.E. degree in Automatic Control Engineering from University of Science and Technology of China, China in 2008, and the Ph.D. degree in Electrical and Computer Engineering from Stevens Institute of Technology, USA in 2014. He is currently affiliated with Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. His main research interests include neural networks, robotics, control of networked systems, computation and optimization. He has been working on the research and application of neural networks/dynamics for 12 years. He has published more than 80 scientific works of various types. These include 20 IEEE-Transactions papers, and 60 SCI-indexed papers published in recent 5 years. The number of papers’ citations shown via Google Scholar Search is 807. He is now serving as associate editors of International Journal ofAdvanced Robotic Systems, Frontiers in Neurorobotics, Neural Processing Letters, Journal of Rehabilitation Robotics and editorial board members of International Journal of Distributed Sensor Networks and Neural Computation & Applications.

Yinyan Zhang received the B.E. degree from Sun Yat-sen University, Guangzhou, China. He is currently a PhD student at the Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. His main research interests include nonlinear systems, dynamic neural networks, and robotics. He has published more than 20 scientific papers as author or co-author (including 7 IEEE-transaction papers).

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