Human Digital Twin in Industry 4.0: Concept and Preliminary Model

Naudet, Yannick; Baudet, Alexandre; Risse, Margot

doi:10.5220/0010709000003062

Cited by 11 publications

(1 citation statement)

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“…DT and twinned entity are connected via a bi-directional data link; captured data from the entity is fed into the DT to update models; and the DT returns feedback, which can range from suggestions to commands, to change the state of the twinned entity. Our framework is composed of two separate DTs; (i) A dedicated Human Digital Twin (HDT) [46] which gathers data from the human worker and models its intent, behaviour and well being; (ii) A Cognitive Digital Twin (CDT) [47] that utilizes cognitive functions to interpret the robot's interactions, enhancing its ability to align its operations with the human's anticipated actions and intents.…”

Section: Introductionmentioning

confidence: 99%

Human-Centric Digital Twins: Advancing Safety and Ergonomics in Human-Robot Collaboration

Gaffinet,

Ali,

Panetto

et al. 2023

Communications in Computer and Information Science

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Human-Robot Collaboration combines the reliability of robots with human adaptability. It is a prime candidate to respond to the trend of Mass Customization which requires frequent reconfiguration with variable lot sizes. But the close contact between humans and robots creates new safety risks and ergonomic factors like robot-induced stress need to be considered. Therefore we propose a human-centric Digital Twin framework, where information about the human is stored and processed in a dedicated Digital Twin and can be transmitted to the robot's Digital Twin for human-aware adaptations. We envision and briefly discuss three possible applications. Our framework has the potential to advance collaborative robotics but inherits technical challenges that come with Digital Twin based approaches and human modelling.

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Section: Introductionmentioning

confidence: 99%