Digital Twins: Enhancing Model-based Design with AR, VR and MR Course Overview

Digital Twins: Enhancing Model-based Design with AR, VR and MR Course Overview

The "Digital Twins: Enhancing Model-based Design with AR, VR and MR" course is a comprehensive program designed to educate learners on the integration of Digital Twin Technology with advanced visualization techniques like Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR). Through this course, participants will delve into the application of digital twins in Operations Optimization, Control System Design, Predictive Maintenance, and deployment within production systems. They will gain hands-on experience with MATLAB & Simulink, exploring Data Analysis and Simulation Interpretation, and they will understand different simulation approaches, including the creation of synthetic data.

Learners will also be introduced to Simscape for Component Modeling and Fault Simulation, and will revisit the role of digital twins in Model Based Systems Engineering (MBSE). The course includes a focus on Data-driven Modeling using machine learning to create Surrogate Models, and it demonstrates how digital twins can be enhanced with AI for tasks like detection. A significant highlight of the course is the integration of digital twins with VR-AR-MR, where learners will explore Playback, Co-simulation, and Workflows using tools like the ROS Toolbox. By completing this digital twins course, participants will be equipped with cutting-edge skills to improve model-based design practices.

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