Robot Digital Twin towards Industry 4.0
The paper presents the development of a digital twin for a high frequency hardening robot and connected hardware and software modules. The paper describes the virtual environment model, the robot emulation and optimization model, and the reference generation model, as well as their respective visual...
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Published in | IFAC-PapersOnLine Vol. 53; no. 2; pp. 10867 - 10872 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
2020
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Subjects | |
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Abstract | The paper presents the development of a digital twin for a high frequency hardening robot and connected hardware and software modules. The paper describes the virtual environment model, the robot emulation and optimization model, and the reference generation model, as well as their respective visual interfaces, used for controlling both the physical and digital robots. The application is integrated into the multi-purpose Virtual Intelligent Portable Robot Platform (VIPRO). |
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AbstractList | The paper presents the development of a digital twin for a high frequency hardening robot and connected hardware and software modules. The paper describes the virtual environment model, the robot emulation and optimization model, and the reference generation model, as well as their respective visual interfaces, used for controlling both the physical and digital robots. The application is integrated into the multi-purpose Virtual Intelligent Portable Robot Platform (VIPRO). |
Author | Vlădăreanu, Victor Iliescu, Mihaiela Ciocîrlan, Alexandra Vlădăreanu, Luige Feng, Yongfei Gal, Alexandru I. Bruja, Adrian Melinte, Octavian D. |
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References | Karaboga, Kaya (bib0003) 2018 Jang (bib0002) 1993; 23 Stich, Spoerre, Velasco (bib0005) 2000; 16 Jang, Jyh-Shing R, 1991. Fuzzy Modeling Using Generalized Neural Networks and Kalman Filter Algorithm. Proceedings of the 9th National Conference on Artificial Intelligence, Anaheim, CA, USA, July 14–19. 2. pp. 762–767 Hagan, Menhaj (bib0004) 1994; 5 Jang (10.1016/j.ifacol.2020.12.2815_bib0002) 1993; 23 10.1016/j.ifacol.2020.12.2815_bib0001 Hagan (10.1016/j.ifacol.2020.12.2815_bib0004) 1994; 5 Karaboga (10.1016/j.ifacol.2020.12.2815_bib0003) 2018 Stich (10.1016/j.ifacol.2020.12.2815_bib0005) 2000; 16 |
References_xml | – volume: 16 start-page: 1 year: 2000 end-page: 11 ident: bib0005 article-title: The application of artificial neural networks to monitoring and control of an induction hardening process publication-title: Journal of Industrial Technology contributor: fullname: Velasco – year: 2018 ident: bib0003 article-title: "Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey" publication-title: Artificial Intelligence Review contributor: fullname: Kaya – volume: 23 start-page: 665 year: 1993 end-page: 685 ident: bib0002 article-title: "ANFIS: adaptive-network-based fuzzy inference system" publication-title: IEEE Transactions on Systems, Man and Cybernetics contributor: fullname: Jang – volume: 5 start-page: 989 year: 1994 end-page: 993 ident: bib0004 article-title: Training feed forward networks with the Marquardt algorithm publication-title: IEEE transactions on Neural Networks contributor: fullname: Menhaj – volume: 16 start-page: 1 issue: 1 year: 2000 ident: 10.1016/j.ifacol.2020.12.2815_bib0005 article-title: The application of artificial neural networks to monitoring and control of an induction hardening process publication-title: Journal of Industrial Technology contributor: fullname: Stich – volume: 23 start-page: 665 issue: 3 year: 1993 ident: 10.1016/j.ifacol.2020.12.2815_bib0002 article-title: "ANFIS: adaptive-network-based fuzzy inference system" publication-title: IEEE Transactions on Systems, Man and Cybernetics doi: 10.1109/21.256541 contributor: fullname: Jang – year: 2018 ident: 10.1016/j.ifacol.2020.12.2815_bib0003 article-title: "Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey" publication-title: Artificial Intelligence Review contributor: fullname: Karaboga – volume: 5 start-page: 989 issue: 6 year: 1994 ident: 10.1016/j.ifacol.2020.12.2815_bib0004 article-title: Training feed forward networks with the Marquardt algorithm publication-title: IEEE transactions on Neural Networks doi: 10.1109/72.329697 contributor: fullname: Hagan – ident: 10.1016/j.ifacol.2020.12.2815_bib0001 |
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Title | Robot Digital Twin towards Industry 4.0 |
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