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.
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.
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.
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), Lingayas Vidyapeeth (formerly known as Lingayas 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.
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