Authors: Dr. M. Dev Anand, and Dr. Chithra D Gracia

ISBN: 978-81-69297-15-8

DOI: https://doi.org/10.59646/700

Date of Publication: May 27, 2026

Cite this book: Dev AM, and Chithra DG, (2026), Industrial IoT (IIoT): Smart Factories, Automation & Robotics, San International Scientific Publications, ISBN: 978-81-69297-15-8, DOI: https://doi.org/10.59646/700

Preface

The rapid convergence of industrial automation, intelligent connectivity, artificial intelligence, robotics, and real-time data analytics has transformed the global manufacturing landscape into a highly interconnected digital ecosystem, giving rise to the paradigm of Industrial Internet of Things (IIoT) and smart factories. Modern industries are no longer driven solely by isolated machines and conventional control systems; instead, they are evolving into intelligent cyber-physical environments where sensors, embedded devices, cloud platforms, edge computing infrastructures, autonomous robots, and advanced analytics collaborate seamlessly to enhance productivity, precision, safety, sustainability, and operational efficiency. This book, Industrial IoT (IIoT): Smart Factories, Automation & Robotics, is designed to provide a comprehensive understanding of the technologies, architectures, communication frameworks, automation systems, and intelligent decision-making mechanisms that form the foundation of next-generation industrial ecosystems.

Beginning with the evolution from traditional automation to Industry 4.0 and Industry 5.0, the book explores smart manufacturing architectures, industrial networking, embedded intelligence, cloud-edge-fog infrastructures, and real-time industrial communication standards that enable seamless machine-to-machine and machine-to-cloud interaction. It further examines advanced industrial control systems including PLCs, DCS, SCADA, robotics, ROS integration, motion control, and automated material handling technologies that drive modern manufacturing operations. In addition, the book highlights the transformative role of artificial intelligence, machine learning, computer vision, predictive maintenance, and edge AI in achieving intelligent automation and autonomous industrial decision-making. Equal emphasis is placed on cybersecurity, safety standards, secure industrial communication, and resilient infrastructure design to ensure reliable and secure operation of critical industrial systems. Through practical concepts, industrial use cases, emerging technologies, and interdisciplinary perspectives, this book aims to serve as a valuable resource for students, researchers, engineers, automation professionals, and industry practitioners seeking to understand and implement intelligent industrial systems capable of supporting the future of smart manufacturing and digital transformation.