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Industrial Robotics in Smart Manufacturing

Industrial Robotics in Smart Manufacturing by Amit Kumar Tyagi
English | 2026 | True PDF | 373 pages | 15.7 MB
In the recent decade, industry 4.0 and its uses have attracted huge attention from the scientific community for doing today's task effectively. This book provides a comprehensive guide to industrial robotics. It covers the history, structure, applications, tools, and programming of robotic systems.
The book delves into fundamental principles, including robot mechanics, motion control, and coordinate systems. It also explores advanced technologies like machine vision, AI, mobile robots, digital twins, and VR in industrial environments. The text is designed for students, engineers, and professionals, offering insights into designing, deploying, and maintaining robotic systems in modern factories, emphasizing their role in Industry 4.0.
Our goal (in this book) is to provide an in-depth yet accessible resource for researchers, engineers, academicians, and industry professionals. The chapters cover critical topics including robotic design and control, human–robot collaboration, digital twin integration, predictive maintenance, edge computing, and cybersecurity for connected robots (with discussing few real-world case studies). In this book, we also highlight how robotics is implemented across automotive, electronics, pharmaceutical, and other manufacturing sectors, demonstrating tangible benefits such as reduced downtime, enhanced quality control, and improved worker safety.
This book also reflects the collaborative nature of several fields with practical implementations, showing that successful smart manufacturing requires the combined expertise of mechanical engineers, software developers, data scientists, and industrial managers. The chapters are structured to flow from foundational principles to advanced implementations, making the content valuable for both newcomers and seasoned practitioners seeking to update their skills.
Contents:
Intelligent Collision Avoidance in Human-Robot Collaboration A Machine Learning Approach
AI-Blockchain-IoT Based Smart Environment: Possible Outcomes, and Opportunities
Smart Wireless Sensor Networks for Road Traffic Management System and Road Safety
Software Architectures for Industrial Robotics: Trends and Opportunities
Intelligent Warehouses: Role of Industrial Robotics in Supply Chain Management
Benefits and Challenges of Industrial Robotics in Smart Manufacturing
Cyber-Physical Systems for Industrial Robotics: Challenges and Solutions
Distributed Deep Learning in Robotics: Harnessing Edge Computing, Federated Learning, and Model Compression for Scalable Autonomy
Industrial Robotics in the Textile Industry: Case Studies and Applications
Intelligent Warehouses: Role of Industrial Robotics in Supply Chain Management
Optimization Techniques for Mechatronics
6G-Enabled Robotics: The Future of Connectivity in Smart Industrial Manufacturing
Smart Industry: Deep Learning-based Monitoring at Assembly Line
Internet of Things’ Future Innovations in Industry 5.0 with Futuristic Technologies: Vision, Architecture, Key Components, Issues, Challenges, and Future Directions
Robot Co-Workers: Human-Robot Collaboration in Smart Manufacturing
AI-Blockchain-IoT-Cloud Computing-Digital Twin: The Perfect Solutions for Next Generation Problems
AI-Blockchain-IoT Based Smart Environment: Possible Outcomes, and Opportunities
Smart Wireless Sensor Networks for Road Traffic Management System and Road Safety
Software Architectures for Industrial Robotics: Trends and Opportunities
Intelligent Warehouses: Role of Industrial Robotics in Supply Chain Management
Benefits and Challenges of Industrial Robotics in Smart Manufacturing
Cyber-Physical Systems for Industrial Robotics: Challenges and Solutions
Distributed Deep Learning in Robotics: Harnessing Edge Computing, Federated Learning, and Model Compression for Scalable Autonomy
Industrial Robotics in the Textile Industry: Case Studies and Applications
Intelligent Warehouses: Role of Industrial Robotics in Supply Chain Management
Optimization Techniques for Mechatronics
6G-Enabled Robotics: The Future of Connectivity in Smart Industrial Manufacturing
Smart Industry: Deep Learning-based Monitoring at Assembly Line
Internet of Things’ Future Innovations in Industry 5.0 with Futuristic Technologies: Vision, Architecture, Key Components, Issues, Challenges, and Future Directions
Robot Co-Workers: Human-Robot Collaboration in Smart Manufacturing
AI-Blockchain-IoT-Cloud Computing-Digital Twin: The Perfect Solutions for Next Generation Problems
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