Overview
- 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)
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Robotics Modeling and Design
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Collaborative Robotics
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Multi-agent Robotic Systems
Keywords
About this book
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
Bibliographic Information
Book Title: Robotics: Industry 4.0 Issues & New Intelligent Control Paradigms
Editors: Alla G. Kravets
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-37841-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-37840-0Published: 07 January 2020
Softcover ISBN: 978-3-030-37843-1Published: 08 January 2021
eBook ISBN: 978-3-030-37841-7Published: 06 January 2020
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: X, 241
Topics: Computational Intelligence, Robotics and Automation, Control and Systems Theory, Manufacturing, Machines, Tools, Processes
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications