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Towards a Human-Centric Digital Twin for Human-Machine Collaboration: A Review on Enabling Technologies and Methods.

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This study explores human-centric manufacturing, using digital twins and human-machine collaboration to boost efficiency. It reviews technologies for creating these applications, focusing on the human element and future research directions.

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Area of Science:

  • Manufacturing Engineering
  • Human-Computer Interaction
  • Industry 5.0

Background:

  • Increasing production efficiency while prioritizing human well-being is a key goal in modern manufacturing.
  • Human-centric manufacturing integrates human needs and capabilities into production processes.
  • Digital twins and human-machine collaboration are emerging concepts in this field.

Purpose of the Study:

  • To present technologies and methods for human-centric applications powered by digital twins.
  • To analyze the state of information resources regarding digital twins in human-machine applications.
  • To emphasize the human perspective and collaborative potential within these systems.

Main Methods:

  • Literature review and analysis of existing information resources.
  • Focus on enabling technologies and methods for digital twin implementation.
  • Examination of human-machine interaction within manufacturing contexts.

Main Results:

  • Identification of key technologies and methods facilitating human-centric digital twin applications.
  • Review highlights the importance of the human perspective in digital twin development.
  • Analysis of the collaborative relationship between humans and machines is presented.

Conclusions:

  • Digital twins are crucial enablers for human-centric manufacturing and Industry 5.0.
  • Further research is needed to fully realize the potential of human-machine collaboration.
  • The findings provide a foundation for developing future human-centric manufacturing systems.