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Robotics: Industry 4.0 Issues & New Intelligent Control Paradigms

  • Book
  • © 2020

Overview

Editors:
  1. Alla G. Kravets

    1. Volgograd State Technical University, Volgograd, Russia

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  • Examines theoretical foundations of industrial robotic control, formulates its concept within the frameworks of intelligent control methods and theories, and discusses the peculiarities of control technologies as a specific sphere of modern industrial technologies described in Industry 4.0
  • Defines intelligent control methods for robotic groups based on multi-agent theory and describes their control architecture
  • Focuses on analyzing the practical lessons learned in the modeling and design of robotic systems solutions

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 272)

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-x
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  2. Robotics Modeling and Design

    1. Front Matter

      Pages 1-1
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    2. Object Recognition of the Robotic System with Using a Parallel Convolutional Neural Network

      • Shuai Yin, A. S. Yuschenko
      Pages 3-11

    3. Mathematical Model of a Swarm Robotic System with Wireless Bi-directional Energy Transfer

      • Konstantin Krestovnikov, Ekaterina Cherskikh, Andrey Ronzhin
      Pages 13-23

    4. Pareto Optimal Solutions and Their Application in Designing Robots and Robotic Systems

      • Irina Romanova
      Pages 25-39

  3. Collaborative Robotics

    1. Front Matter

      Pages 41-41
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    2. Control and Ergonomic Problems of Collaborative Robotics

      • Arkady S. Yuschenko
      Pages 43-53

    3. Human-Robot Interaction Efficiency and Human-Robot Collaboration

      • Rinat R. Galin, Roman V. Meshcheryakov
      Pages 55-63

    4. Human-Robot Cooperation in Technological Wall Climbing Robot System

      • V. Gradetsky, M. Knyazkov, E. Semenov, A. Sukhanov
      Pages 65-76

    5. Features of Human-Exoskeleton Interaction

      • V. Gradetsky, I. Ermolov, M. Knyazkov, E. Semenov, A. Sukhanov
      Pages 77-88

    6. Analysis of Dynamics in Human—Exoskeleton Collaborative System

      • Anna Matokhina, Alla G. Kravets, Daria Volodina, Stanislav Dragunov, Vladislav Shashkov
      Pages 89-109

  4. Multi-agent Robotic Systems

    1. Front Matter

      Pages 111-111
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    2. Formation Control of Ground Multi-agent System Using Quadcopter with Camera

      • Stanislav L. Zenkevich, Anaid V. Nazarova, Jianwen Huo
      Pages 113-124

    3. Dependence of Dynamics of Multi-robot System on Control Architecture

      • Vladimir Serebrenny, Madin Shereuzhev
      Pages 125-132

    4. The Application of Multi-agent Robotic Systems for Earthquake Rescue

      • Anaid V. Nazarova, Meixin Zhai
      Pages 133-146

    5. About Controlling the Shape of the Sprinkler

      • Eugene Briskin, Yaroslav Kalinin, Konstantin Lepetukhin, Alexander Maloletov
      Pages 147-157
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Keywords

About this book

This book focuses on open issues of new intelligent control paradigms and their usage. Industry 4.0 requires new approaches in the context of secure connection, control, and maintenance of robotic systems, as well as enhancing their interaction with humans. The book presents recent advances in industrial robotics, and robotic design and modeling for various domains, and discusses the methodological foundations of the collaborative robotics concept as a breakthrough in modern industrial technologies. It also describes the implementation of multi-agent models, programs and methods that could be used in future processes for control, condition assessment, diagnostics, prognostication, and proactive maintenance.


 
Further, the book addresses the issue of ensuring the space robotics systems and proposes reliable novel solutions. The authors also illustrate the integration of deep-learning methods and mathematical modeling based on examples of successful robotic systems in various countries, and analyze the connections between robotic modeling and design from the positions of new industrial challenges. The book is intended for practitioners and enterprise representatives, as well as scientists and Ph.D. and Master’s students pursuing research in the area of cyber-physical system development and implementation in various domains.


Editors and Affiliations

  • Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

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