Industrial Robotics in Smart Manufacturing
1st Edition
Will be published approx. on 19. February 2026
Book
Hardback
366 pages
978-1-041-00494-3 (ISBN)
Description
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Illustrations
82 s/w Zeichnungen, 54 s/w Tabellen, 92 s/w Abbildungen, 10 s/w Photographien bzw. Rasterbilder
54 Tables, black and white; 82 Line drawings, black and white; 10 Halftones, black and white; 92 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 25 mm
Weight
725 gr
ISBN-13
978-1-041-00494-3 (9781041004943)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Amit Kumar Tyagi
Industrial Robotics in Smart Manufacturing
E-Book
02/2026
CRC Press
€73.99
Available for download
Amit Kumar Tyagi
Industrial Robotics in Smart Manufacturing
E-Book
02/2026
CRC Press
€73.99
Available for download
Person
Amit Kumar Tyagi is working as Assistant Professor, at National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. About his academic experience, he joined as assistant professor at several institutes like Lord Krishna College of Engineering, Ghaziabad (LKCE) (for the periods of 2009-2010, and 2012-2013), Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad (2018-2019), VIT Chennai (2019-2022) and NIFT New Delhi (2022-2025). His supervision experience includes more than 10 Masters' dissertations and one Ph.D. thesis. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems (MCPS). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, and ISTE. He is a senior member of IEEE.
Content
Preface. 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. Index.