ArticleSensors (Basel, Switzerland)2021
Digital Twin for Automatic Transportation in Industry 4.0.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Enhanced accuracy and adaptability: An ISSA-optimized MPC approach for AGV trajectory tracking.PloS one · 2026Article
- Digital Twin-Based Active Learning for Industrial Process Control and Supervision in Industry 4.0.Sensors (Basel, Switzerland) · 2025Article
- Digital Twin Approach for Operation and Maintenance of Transportation System-Systematic Review.Sensors (Basel, Switzerland) · 2024Review
- Enabling Trust and Security in Digital Twin Management: A Blockchain-Based Approach with Ethereum and IPFS.Sensors (Basel, Switzerland) · 2023Article
- Integration of Discrete Simulation, Prediction, and Optimization Methods for a Production Line Digital Twin Design.Materials (Basel, Switzerland) · 2023Article
- Measurement of a Vibration on a Robotic Vehicle.Sensors (Basel, Switzerland) · 2022Article
- Digital Twins in the Practice of High-Energy Physics Experiments: A Gas System for the Multipurpose Detector.Sensors (Basel, Switzerland) · 2022Article
- Stopping the Mobile Robotic Vehicle at a Defined Distance from the Obstacle by Means of an Infrared Distance Sensor.Sensors (Basel, Switzerland) · 2021Article
- The Fundamental Approach of the Digital Twin Application in Railway Turnouts with Innovative Monitoring of Weather Conditions.Sensors (Basel, Switzerland) · 2021Article
- A WoT-Based Method for Creating Digital Sentinel Twins of IoT Devices.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Industry 4.0 is the fourth industrial revolution consisting of the digitalization of processes facilitating an incremental value chain. Smart Manufacturing (SM) is one of the branches of the Industry 4.0 regarding logistics, visual inspection of pieces, optimal organization of processes, machine sensorization, real-time data adquisition and treatment and virtualization of industrial activities. Among these tecniques, Digital Twin (DT) is attracting the research interest of the scientific community in the last few years due to the cost reduction through the simulation of the dynamic behaviour of the industrial plant predicting potential problems in the SM paradigm. In this paper, we propose a new DT design concept based on external service for the transportation of the Automatic Guided Vehicles (AGVs) which are being recently introduced for the Material Requirement Planning satisfaction in the collaborative industrial plant. We have performed real experimentation in two different scenarios through the definition of an Industrial Ethernet platform for the real validation of the DT results obtained. Results show the correlation between the virtual and real experiments carried out in the two scenarios defined in this paper with an accuracy of 97.95% and 98.82% in the total time of the missions analysed in the DT. Therefore, these results validate the model created for the AGV navigation, thus fulfilling the objectives of this paper.
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Registered trials
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