Model-Based Digital Twin for Collaborative Robots

Jeshwitha Jesus Raja, Shaza Elbishbishy, Yanire Gutierrez, Ibrahim Mohamed, Philipp Kranz, Marian Daun

2024

Abstract

Industry 4.0 is reshaping the way individuals live and work, with significant impact on manufacturing processes. Collaborative robots, or cobots-designed to be easily programmable and capable of directly interacting with humans-are expected to play a critical role in future manufacturing scenarios by reducing setup times, labor costs, material waste, and processing durations. However, ensuring safety remains a major challenge in their industrial application. One promising solution for addressing safety, as well as other real-time monitoring needs, is the digital twin. While the potential of digital twins is widely acknowledged in both academia and industry, current implementations often face several challenges, including high development costs and the lack of a systematic approach to ensure consistency between the physical and virtual representations. These limitations hinder the widespread adoption and scalability of digital twins in industrial processes. In this paper, we propose a model-based approach to digital twins, which emphasizes the reuse of design-time models at runtime. This ensures a coherent relationship between the physical system and its digital counterpart, aiming to overcome current barriers and facilitate a more seamless integration into industrial environments.

Paper Citation

in Harvard Style

Jesus Raja J., Elbishbishy S., Gutierrez Y., Mohamed I., Kranz P. and Daun M. (2024). Model-Based Digital Twin for Collaborative Robots. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 256-263. DOI: 10.5220/0013016400003822

in Bibtex Style

@conference{icinco24,
author={Jeshwitha Jesus Raja and Shaza Elbishbishy and Yanire Gutierrez and Ibrahim Mohamed and Philipp Kranz and Marian Daun},
title={Model-Based Digital Twin for Collaborative Robots},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2024},
pages={256-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013016400003822},
isbn={978-989-758-717-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Model-Based Digital Twin for Collaborative Robots
SN - 978-989-758-717-7
AU - Jesus Raja J.
AU - Elbishbishy S.
AU - Gutierrez Y.
AU - Mohamed I.
AU - Kranz P.
AU - Daun M.
PY - 2024
SP - 256
EP - 263
DO - 10.5220/0013016400003822
PB - SciTePress