Industrial Process Improvement by Automation and Robotics

doi:10.3390/books978-3-0365-9466-8

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Industrial Process Improvement by Automation and Robotics

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November 2023

278 pages

ISBN978-3-0365-9467-5 (Hardback)
ISBN978-3-0365-9466-8 (PDF)

https://doi.org/10.3390/books978-3-0365-9466-8

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This book is a reprint of the Special Issue Industrial Process Improvement by Automation and Robotics that was published in

Engineering

Summary

The pursuit of industrial process improvement has been a continuous task in modern manufacturing and production. The confluence of automation and robotics has not only revolutionized manufacturing processes but has also redefined the benchmarks of efficiency, precision, and adaptability in various industries. This reprint, "Industrial Process Improvement by Automation and Robotics", is a comprehensive collection of research papers, each chapter delving into distinct facets of the integration of automation and robotics to enhance industrial processes across diverse applications. The compilation of fourteen chapters covers a broad spectrum of topics, addressing the latest technological advancements and innovative methodologies employed in industrial automation.The primary aim of this reprint is to serve as a compendium for researchers, engineers, industrial practitioners, and academicians actively involved or interested in the domains of automation, robotics, and industrial process improvement. The multidisciplinary approach of these chapters caters to a diverse audience seeking in-depth knowledge, innovative strategies, and insightful perspectives in this evolving field.

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Hardback

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Keywords

collaborative robotics; brain–computer interface; hand guiding; haptic interface; multimodal communication; assembly task; occupational risk assessment; Industry 4.0; internet of things; smart PPE; machine vision; form deviation; evaluation algorithm; image-based process; edge detection; automotive component industry; spiral cable; automation; cutting system; productivity; online machine learning; deep-q learning; positioning accuracy; industrial robot; vibrations; production planning; decision support method; production engineering; robotic belt grinding; surface roughness measurement; generative adversarial network; arc welding robot; digital twin; welding workstation; placement planning; process optimization; Industry 4.0; human–cobot interaction; job; psychology; process; human–machine relationship; human–machine collaboration; human-oriented manufacturing; Industry 5.0; human factor; full-automated solutions; competitiveness; high productivity; high flexibility; bent wires; cushions; car seats; automotive industry; automation; novel mechanical concepts; microdrill; cross-sectional geometric parameter (CSGP); cross-sectional web thickness (CSWT); cross-sectional outer diameter (CSOD); automation system; image processing operations; destructive and visual measurement; robotics calibration; network delays management; resource sharing; temporal delays; realtime calibration; realtime application over the network; n/a