Digital Twins are becoming increasingly popular with companies looking to simulate their environments before rolling out large-scale configuration changes. These changes include factory and warehouse designs and extend to the training of robots and autonomous vehicles via machine learning and AI. It is crucial to create 3D art assets for these simulations that represent their real-world counterparts as closely as possible to achieve high accuracy in the data collected through a simulation.
However, it is not enough just to have 3D art assets that are visually accurate. Simulation environments, such as Omniverse, rely on additional model information and metadata to make that content useful for research and training of a particular product or ecosystem. In order to achieve this level of fidelity from both a visual and simulation perspective, NVIDIA is creating a new 3D standard called SimReady.
SimReady 3D art assets represent more than just the surface appearance of an object. They contain essential additional information including semantic labeling so that a computer can identify and interpret what it “sees” in the simulation; assets are built to real-world scale with accurate mass, physical materials and center of gravity for use within the Omniverse physics engine.
These guides summarize the best practices for 3D art asset creation that will help provide consistent creation of SimReady models and their incorporation into scenes created in Omniverse while providing a high degree of accuracy in the data generated by running these simulations.