IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

The Usefulness of Digital Twin in Manipulator Robot Control

The Usefulness of Digital Twin in Manipulator Robot Control
View Sample PDF
Author(s): Imane Cheikh (LIMAS-Lab, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University, Morocco), Khaoula Oulidi Omali (National School for Computer Science and Systems Analysis, University Mohammed V, Morocco), Mohammed Nabil Kabbaj (LIMAS-Lab, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University, Morocco)and Mohammed Benbrahim (Faculty of Sciences, Sidi Mohammed Ben Abdellah University, Morocco)
Copyright: 2024
Pages: 30
Source title: Enhancing Performance, Efficiency, and Security Through Complex Systems Control
Source Author(s)/Editor(s): Idriss Chana (ESTM, Moulay Ismail University of Meknès, Morocco), Aziz Bouazi (ESTM, Moulay Ismail University of Meknès, Morocco)and Hussain Ben-azza (ENSAM, Moulay Ismail University of Meknes, Morocco)
DOI: 10.4018/979-8-3693-0497-6.ch002

Purchase

View The Usefulness of Digital Twin in Manipulator Robot Control on the publisher's website for pricing and purchasing information.

Abstract

Digital twin (DT) plays a key role in smart industry by being one of the most useful technologies which has the ability to attach the physical space with the cyber space. On the other side of the coin, manipulator robots have also played an essential role in industrial processes, especially that robots are embedded with sensors and actuators that can lead to a smart control. In this study, generalities about digital twin are mentioned; moreover, the relationship between digital twin and the control of manipulator robots is explained step by step. A simulation study has been employed to the universal robot UR10 applying the sliding mode control. This project shows that the cyber space is beneficial for creating a simulated smart industry by observing real-time state of the process, testing different decisions in simulation before performing the required actions directly in the real system, and acting with different situations.

Related Content

Chirag Sharma, Amanpreet Kaur, Priyanka Datta, Yonis Gulzar. © 2025. 30 pages.
M. Johnpaul, Raam Sai Bharadwaj Miryala, Marica Mazurek, G. Jayaprakashnarayana, Ramesh Kumar Miryala. © 2025. 28 pages.
Jatin Arora, Gaganpreet Kaur, Monika Sethi, Saravjeet Singh. © 2025. 20 pages.
L. A. Anto Gracious, L. Sudha, B. Chitra, Gaganpreet Kaur, V. Sathya, P. Kabitha, R. Siva Subramanian. © 2025. 28 pages.
Bhavik Singla, Anuj Kumar Jain, Gaganpreet Kaur, Nitin Jain, Vishal Jain. © 2025. 28 pages.
P. Vijayalakshmi, K. Subashini, B. Selvalakshmi, G. Sudhakar, Anand Anbalagan, N. Bharathiraja, Gaganpreet Kaur. © 2025. 22 pages.
Djamel Saba, Abdelkader Hadidi. © 2025. 28 pages.
Body Bottom