A Path to Industry 5.0 Digital Twins for Human–Robot Collaboration by Bridging NEP+ and ROS

Author:

Coronado Enrique1ORCID,Ueshiba Toshio1,Ramirez-Alpizar Ixchel G.1ORCID

Affiliation:

1. Industrial Cyber-Physical Systems Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064, Japan

Abstract

The integration of heterogeneous hardware and software components to construct human-centered systems for Industry 5.0, particularly human digital twins, presents considerable complexity. Our research addresses this challenge by pioneering a novel approach that harmonizes the techno-centered focus of the Robot Operating System (ROS) with the cross-platform advantages inherent in NEP+ (a human-centered development framework intended to assist users and developers with diverse backgrounds and resources in constructing interactive human–machine systems). We introduce the nep2ros ROS package, aiming to bridge these frameworks and foster a more interconnected and adaptable approach. This initiative can be used to facilitate diverse development scenarios beyond conventional robotics, underpinning a transformative shift in Industry 5.0 applications. Our assessment of NEP+ capabilities includes an evaluation of communication performance utilizing serialization formats like JavaScript Object Notation (JSON) and MessagePack. Additionally, we present a comparative analysis between the nep2ros package and existing solutions, illustrating its efficacy in linking the simulation environment (Unity) and ROS. Moreover, our research demonstrates NEP+’s applicability through an immersive human-in-the-loop collaborative assembly. These findings offer promising prospects for innovative integration possibilities across a broad spectrum of applications, transcending specific platforms or disciplines.

Publisher

MDPI AG

Reference37 articles.

1. De Nul, L., Breque, M., and Petridis, A. (2021). Industry 5.0, towards a Sustainable, Human-Centric and Resilient European Industry, General for Research and Innovation (European Commission). Technical Report.

2. Evaluating quality in human–robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an industry 5.0;Coronado;J. Manuf. Syst.,2022

3. Industry 4.0 and Industry 5.0—Inception, conception and perception;Xu;J. Manuf. Syst.,2021

4. Nahavandi, S. (2019). Industry 5.0—A human-centric solution. Sustainability, 11.

5. Human Digital Twin in the context of Industry 5.0;Wang;Robot. Comput.-Integr. Manuf.,2024

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