Integration of a Digital Twin Framework for Trajectory Control of a 2RRR Planar Parallel Manipulator Using ROS/Gazebo and MATLAB
Tallennettuna:
| Julkaisussa: | Future Internet vol. 17, no. 4 (2025), p. 146 |
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| Muut tekijät: | , , , , , , |
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MDPI AG
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| Linkit: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 1999-5903 | ||
| 024 | 7 | |a 10.3390/fi17040146 |2 doi | |
| 035 | |a 3194606969 | ||
| 045 | 2 | |b d20250401 |b d20250430 | |
| 084 | |a 231464 |2 nlm | ||
| 100 | 1 | |a Mesa-Montoya, Carlos Andrés |u Programa de Ingeniería Mecánica, Facultad de Mecánica Aplicada, Universidad Tecnológica de Pereira, Pereira 660003, Colombia; caanmesa@utp.edu.co (C.A.M.-M.); nestorivan.marin@utp.edu.co (N.I.M.P.); lvanegas@utp.edu.co (L.V.V.-U.); gcdaravina@utp.edu.co (G.C.D.-P.) | |
| 245 | 1 | |a Integration of a Digital Twin Framework for Trajectory Control of a 2RRR Planar Parallel Manipulator Using ROS/Gazebo and MATLAB | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Digital twin (DT) technology is transforming industrial automation by enabling the real-time simulation, predictive control, and optimization of complex systems. This study presents a DT-based kinematic control method designed for trajectory planning and execution in a 2RRR planar parallel manipulator. The framework utilizes ROS/Gazebo for virtual modeling and MATLAB’s Guide tool for a human–machine interface, establishing a synchronized virtual–physical environment. By dynamically bridging design and manufacturing phases, the DT model enhances operational insight through real-time data exchange and control flexibility. Statistical analyses, including the comparative hypothesis testing of angular positions and velocities with a 95% confidence level, validate the model’s precision, demonstrating a high degree of fidelity between the virtual model and the physical system. These findings confirm the DT’s reliability as an effective tool for trajectory programming, highlighting its potential in industrial robotics where adaptability and data-driven decision making are essential. This approach contributes to the evolving landscape of Industry 4.0 by supporting intelligent manufacturing systems with improved accuracy and efficiency. | |
| 653 | |a Kinematics | ||
| 653 | |a Accuracy | ||
| 653 | |a Deep learning | ||
| 653 | |a Collaboration | ||
| 653 | |a Data exchange | ||
| 653 | |a Angular position | ||
| 653 | |a Matlab | ||
| 653 | |a Optimization | ||
| 653 | |a Industry 4.0 | ||
| 653 | |a Robots | ||
| 653 | |a Predictive control | ||
| 653 | |a Complex systems | ||
| 653 | |a Systems stability | ||
| 653 | |a Manufacturing | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Intelligent manufacturing systems | ||
| 653 | |a Efficiency | ||
| 653 | |a Industrial robots | ||
| 653 | |a Robotics | ||
| 653 | |a Operating systems | ||
| 653 | |a Machine learning | ||
| 653 | |a Simulation | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Energy industry | ||
| 653 | |a Failure analysis | ||
| 653 | |a Angular velocity | ||
| 653 | |a Confidence intervals | ||
| 653 | |a Automation | ||
| 653 | |a Man-machine interfaces | ||
| 653 | |a Digital twins | ||
| 653 | |a Decision making | ||
| 653 | |a Process controls | ||
| 653 | |a Manipulators | ||
| 653 | |a Industrial applications | ||
| 653 | |a Data collection | ||
| 653 | |a Real time | ||
| 653 | |a Control methods | ||
| 653 | |a Trajectory planning | ||
| 653 | |a Trajectory control | ||
| 700 | 1 | |a Peláez Néstor Iván Marín |u Programa de Ingeniería Mecánica, Facultad de Mecánica Aplicada, Universidad Tecnológica de Pereira, Pereira 660003, Colombia; caanmesa@utp.edu.co (C.A.M.-M.); nestorivan.marin@utp.edu.co (N.I.M.P.); lvanegas@utp.edu.co (L.V.V.-U.); gcdaravina@utp.edu.co (G.C.D.-P.) | |
| 700 | 1 | |a Ortega-Quiñones, Kevin David |u Programa de Ingeniería Eléctrica, Facultad de Ingenierías, Universidad Tecnológica de Pereira, Pereira 660003, Colombia; kevin.ortega@utp.edu.co (K.D.O.-Q.); gahol@utp.edu.co (G.A.H.-L.) | |
| 700 | 1 | |a Holguín-Londoño, German Andrés |u Programa de Ingeniería Eléctrica, Facultad de Ingenierías, Universidad Tecnológica de Pereira, Pereira 660003, Colombia; kevin.ortega@utp.edu.co (K.D.O.-Q.); gahol@utp.edu.co (G.A.H.-L.) | |
| 700 | 1 | |a Vanegas-Useche Libardo Vicente |u Programa de Ingeniería Mecánica, Facultad de Mecánica Aplicada, Universidad Tecnológica de Pereira, Pereira 660003, Colombia; caanmesa@utp.edu.co (C.A.M.-M.); nestorivan.marin@utp.edu.co (N.I.M.P.); lvanegas@utp.edu.co (L.V.V.-U.); gcdaravina@utp.edu.co (G.C.D.-P.) | |
| 700 | 1 | |a Daraviña-Peña, Gian Carlo |u Programa de Ingeniería Mecánica, Facultad de Mecánica Aplicada, Universidad Tecnológica de Pereira, Pereira 660003, Colombia; caanmesa@utp.edu.co (C.A.M.-M.); nestorivan.marin@utp.edu.co (N.I.M.P.); lvanegas@utp.edu.co (L.V.V.-U.); gcdaravina@utp.edu.co (G.C.D.-P.) | |
| 700 | 1 | |a Ariza-Echeverri, Edwan Anderson |u Grupo de Nuevos Materiales y Didáctica de las Ciencias, Facultad de Ingeniería, Universidad del Magdalena, Santa Marta 470004, Colombia; earizaec@unimagdalena.edu.co | |
| 700 | 1 | |a Vergara, Diego |u Technology, Instruction and Design in Engineering and Education Research Group (TiDEE.rg), Catholic University of Ávila, 05005 Ávila, Spain | |
| 773 | 0 | |t Future Internet |g vol. 17, no. 4 (2025), p. 146 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3194606969/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
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| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3194606969/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |