Human Digital Twin in the context of Industry 5.0

Baicun Wang, Huiying Zhou, Xingyu Li, Geng Yang, Pai Zheng, Ci Song, Yixiu Yuan, Thorsten Wuest, Huayong Yang, Lihui Wang

Research output: Journal article publicationReview articleAcademic researchpeer-review

71 Citations (Scopus)

Abstract

Human-centricity, a core value of Industry 5.0, places humans in the center of production. It leads to the prioritization of human needs, spanning from health and safety to self-actualization and personal growth. The concept of the Human Digital Twin (HDT) is proposed as a critical method to realize human-centricity in smart manufacturing systems towards Industry 5.0. HDTs are digital representations of humans, aiming to change the practice of human-system integration by coupling humans’ characteristics directly to the system design and its performance. In-depth analysis, critical insights, and application guidelines of HDT are essential to realize the concept of Industry 5.0 in practice and evolve the smart manufacturing paradigm in modern factories. However, the investigation on the development of HDT to evolve humans’ roles and develop humans to their full potential is limited to date. Recent studies are rarely geared towards designing a standardized framework and architecture of HDT for diverse real-world applications. Thus, this work aims to close this research gap by carrying out a comprehensive survey on HDT in the context of Industry 5.0, summarizing the ongoing evolution, and proposing a proper connotation of HDT, before discussing the conceptual framework and system architecture of HDT and analyzing enabling technologies and industrial applications. This work provides guidance on possible avenues as well as challenges for the further development of HDT and its related concepts, allowing humans to reach their potential and accommodating their diverse needs in the futuristic smart manufacturing systems shaped by Industry 5.0.

Original languageEnglish
Article number102626
Number of pages25
JournalRobotics and Computer-Integrated Manufacturing
Volume85
DOIs
Publication statusPublished - Feb 2024

Keywords

  • Human Digital Twin
  • Human-centricity
  • Industry 5.0
  • Smart manufacturing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • General Mathematics
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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