Description

Book 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.



Table of Contents
  • Chapter 1: Introduction to HMI - current and future, systems, features, and benefits Human-machine interfaces in smart manufacturing
  • Chapter 2: Human-machine interaction (HMI) technology - Malaysia National Technology Roadmap Industry4WRD leading the human intelligence transformation in smart manufacturing
  • Chapter 3: Challenges and impact of human-machine interaction systems in smart manufacturing
  • Chapter 4: Robotics and autonomous systems in smart manufacturing
  • Chapter 5: Artificial intelligence implementations in HMI for smart manufacturing
  • Chapter 6: 5G and beyond environment for smart manufacturing
  • Chapter 7: Drone supports applications in smart manufacturing
  • Chapter 8: VoIP technology in manufacturing
  • Chapter 9: Industrial Internet of Things solutions in smart manufacturing
  • Chapter 10: Metal powder bed fusion: an overview on processes, materials, and challenges
  • Chapter 11: 3D processing for human-machine interaction and additive manufacturing
  • Chapter 12: Augmented reality technology in smart manufacturing
  • Chapter 13: Extended reality on smart manufacturing
  • Chapter 14: Intelligent transportation systems
  • Chapter 15: Optical fibres for data interoperability and real-time production tracking in medical manufacturing
  • Chapter 16: Human-Machine Interface for Healthcare Technology Manufacturing
  • Chapter 17: Smart manufacturing workplace safety with virtual training, AR and haptic technologies
  • Chapter 18: Blockchain technology in smart manufacturing
  • Chapter 19: Reducing waste and pollution with automation and CPS in manufacturing
  • Chapter 20: Smart manufacturing workplace safety with virtual training, AR, MR and haptic technologies
  • Chapter 21: Conserving environment using resources wisely with reduction of waste and pollution: exemplary initiatives for Education 4.0
  • Chapter 22: Conserving cultural heritage, monitoring health and safety in the environment integrating technology: issues, challenges and the way forward
  • Chapter 23: Rethinking and redesigning strategies related to IR4.0 to bridge the gap of human resource development in ICT industries and smart manufacturing
  • Chapter 24: Summary

Human Machine Collaboration and Interaction for

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    A Hardback by Wai Yie Leong

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      Publisher: Institution of Engineering and Technology
      Publication Date: 29/09/2022
      ISBN13: 9781839534140, 978-1839534140
      ISBN10: 1839534141

      Description

      Book 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.



      Table of Contents
      • Chapter 1: Introduction to HMI - current and future, systems, features, and benefits Human-machine interfaces in smart manufacturing
      • Chapter 2: Human-machine interaction (HMI) technology - Malaysia National Technology Roadmap Industry4WRD leading the human intelligence transformation in smart manufacturing
      • Chapter 3: Challenges and impact of human-machine interaction systems in smart manufacturing
      • Chapter 4: Robotics and autonomous systems in smart manufacturing
      • Chapter 5: Artificial intelligence implementations in HMI for smart manufacturing
      • Chapter 6: 5G and beyond environment for smart manufacturing
      • Chapter 7: Drone supports applications in smart manufacturing
      • Chapter 8: VoIP technology in manufacturing
      • Chapter 9: Industrial Internet of Things solutions in smart manufacturing
      • Chapter 10: Metal powder bed fusion: an overview on processes, materials, and challenges
      • Chapter 11: 3D processing for human-machine interaction and additive manufacturing
      • Chapter 12: Augmented reality technology in smart manufacturing
      • Chapter 13: Extended reality on smart manufacturing
      • Chapter 14: Intelligent transportation systems
      • Chapter 15: Optical fibres for data interoperability and real-time production tracking in medical manufacturing
      • Chapter 16: Human-Machine Interface for Healthcare Technology Manufacturing
      • Chapter 17: Smart manufacturing workplace safety with virtual training, AR and haptic technologies
      • Chapter 18: Blockchain technology in smart manufacturing
      • Chapter 19: Reducing waste and pollution with automation and CPS in manufacturing
      • Chapter 20: Smart manufacturing workplace safety with virtual training, AR, MR and haptic technologies
      • Chapter 21: Conserving environment using resources wisely with reduction of waste and pollution: exemplary initiatives for Education 4.0
      • Chapter 22: Conserving cultural heritage, monitoring health and safety in the environment integrating technology: issues, challenges and the way forward
      • Chapter 23: Rethinking and redesigning strategies related to IR4.0 to bridge the gap of human resource development in ICT industries and smart manufacturing
      • Chapter 24: Summary

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