Overview
- Written by leading experts in the field
- Features the state of the art in intelligent and cyber-physical systems
- Brought together researchers and industry professionals from a broad range of disciplines such as applied mathematics, robotics and data science
Part of the book series: Mechanisms and Machine Science (Mechan. Machine Science, volume 80)
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Table of contents (50 papers)
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Front Matter
Keywords
About this book
This volume gathers the latest advances, innovations, and applications in the field of intelligent systems such as robots, cyber-physical and embedded systems, as presented by leading international researchers and engineers at the International Conference on Intelligent Technologies in Robotics (ITR), held in Moscow, Russia on October 21-23, 2019. It covers highly diverse topics, including robotics, design and machining, control and dynamics, bio-inspired systems, Internet of Thing, Big Data, RFID technology, blockchain, trusted software, cyber-physical systems (CFS) security, development of CFS in manufacturing, protection of information in CFS, cybersecurity of CFS. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists, demonstrating that intelligent systems will drive the technological and societal change in the coming decades.
Editors and Affiliations
Bibliographic Information
Book Title: Advanced Technologies in Robotics and Intelligent Systems
Book Subtitle: Proceedings of ITR 2019
Editors: Sergey Yu. Misyurin, Vigen Arakelian, Arutyun I. Avetisyan
Series Title: Mechanisms and Machine Science
DOI: https://doi.org/10.1007/978-3-030-33491-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-33490-1Published: 02 January 2020
Softcover ISBN: 978-3-030-33493-2Published: 02 January 2021
eBook ISBN: 978-3-030-33491-8Published: 01 January 2020
Series ISSN: 2211-0984
Series E-ISSN: 2211-0992
Edition Number: 1
Number of Pages: XI, 435
Number of Illustrations: 107 b/w illustrations, 63 illustrations in colour
Topics: Robotics and Automation, Machinery and Machine Elements, Data Engineering