Unlocking the Future of Manufacturing: The Role of Human Digital Twins (HDT) in AI-Based Sustainable Production.

The Human Digital Twin (HDT) scope is to model the human worker and to integrate human factors in complex manufacturing systems. The goal is to lower the barriers for humans to engage in AI-based sustainable manufacturing processes while increasing trust in them.

Human workers can benefit from human Digital Twins supporting decision-making processes, minimising environmental influences and individual skills and experience gaps, and enabling human-aware technologies that can adapt to the worker’s needs and facilitate human-machine interaction.

The Human Digital Twin Concept

The HDT will be deployed in organisations where the information about workers’ skills and capabilities is pivotal to the production process (e.g., in collaborative robotics environments, where a robot may adapt to the limited skills of an operator). The HDT can also be supported by AI techniques, estimating additional worker characteristics from historical results.

The foreseen HDT is a crucial support for any decision system, as well as the process DT developed within the Project, which can take into consideration the additional information provided by HDT in making predictions and simulations about the ongoing process.

Written by: GFT Italy