Human Machine Collaboration and Interaction for Smart Manufacturing

ISBN 10: 1839534141 / ISBN 13: 9781839534140

Published by Institution of Engineering and Technology, GB, 2022

About this Item

Advanced technologies such as robotics, 5G mobile communications, IoT, cloud computing and wireless sensor networks have had a huge impact and influence on manufacturing, with an increased collaboration between humans and smart systems. As the manufacturing process becomes more automated using real-time data, communication systems, Artificial Intelligence (AI) techniques and robotics feed data back into the manufacturing process. This enables the design of products that are more customized and personal, and leads to a more competitive, efficient and value-added production process by reacting more quickly to technical or human errors to avoid product and system damage while increasing workplace safety, and reducing waste, pollution, and associated costs. This edited book covers challenges, concepts, systems, architectures, technologies, and design characteristics of human-machine cooperation and interaction systems in smart manufacturing environments using state of the art technologies including AI, 5G, IoTs, Blockchains, CPS, sensing, automation and robotics. The book is aimed at researchers and engineers working on the applications of robotics and automation, HMI, HCI, CPS, sensing, information and communications technology, data science, ML/DL/AI, AR/VR, cybersecurity and electronics. It is also a useful reference for advanced students and lecturers in these fields, and will appeal to manufacturers and automation system developers.

Seller Inventory # LU-9781839534140

Bibliographic Details

• Title: Human Machine Collaboration and Interaction for Smart Manufacturing
• Publisher: Institution of Engineering and Technology, GB
• Publication Date: 2022
• Language: English
• ISBN 10: 1839534141
• ISBN 13: 9781839534140
• Binding: Hardback
• Condition: New

About this title

Synopsis

Advanced technologies such as robotics, 5G mobile communications, IoT, cloud computing and wireless sensor networks have had a huge impact and influence on manufacturing, with an increased collaboration between humans and smart systems. As the manufacturing process becomes more automated using real-time data, communication systems, Artificial Intelligence (AI) techniques and robotics feed data back into the manufacturing process. This enables the design of products that are more customized and personal, and leads to a more competitive, efficient and value-added production process by reacting more quickly to technical or human errors to avoid product and system damage while increasing workplace safety, and reducing waste, pollution, and associated costs.

This edited book covers challenges, concepts, systems, architectures, technologies, and design characteristics of human-machine cooperation and interaction systems in smart manufacturing environments using state of the art technologies including AI, 5G, IoTs, Blockchains, CPS, sensing, automation and robotics.

The book is aimed at researchers and engineers working on the applications of robotics and automation, HMI, HCI, CPS, sensing, information and communications technology, data science, ML/DL/AI, AR/VR, cybersecurity and electronics. It is also a useful reference for advanced students and lecturers in these fields, and will appeal to manufacturers and automation system developers.

About the Author

Wai Yie Leong is the Pro Vice Chancellor of INTI International University, Malaysia. Her specialisms are Industry 4.0 (IR4.0), wireless sensor networks, Ultra-Wideband and wireless communications, and brain signal processing for signal conditioning and classification. She is the Vice President of The Institution of Engineers Malaysia (IEM) 2020/2022, Vice President of the International Network of Women Engineers and Scientists (INWES) 2020/2023, Chairman of The Institution of Engineering and Technology (IET) Malaysian Local Network 2018/2021, IET Council Member and Committee Member of the World Federation of Engineering Organisation (Women in Engineering Committee). She holds a PhD in Electrical Engineering from The University of Queensland (UQ), Brisbane, Australia.