Photorealistic EVA Simulation and Analytics for Real-Time Digital Twin Environments

nbsp; In XR simulations for digital twins and astronaut training, the need for accuracy and precision is critical. Environments on the Moon and Mars will prove unpredictable and challenging, especially given the requirements for greater autonomy and reduced reliance on Earth-based support due to communication delays. Training for such missions necessitates simulations that not only emulate these environments but also achieve hyper realistic fidelity. Given the limitations of current state-of-the-art real-time rendering in real-time game engines, the solution to this growing demand for realism resides in more advanced computational strategies, specifically the utilization of parallelization. For Phase II of our NASA STTR proposal, Buendea and University of Central Floridarsquo;s will focus developing state-of-the-art parallelization techniques, combined with the latest advancements in hardware and software, which can significantly enhance the realism and efficiency of astronaut training in XR environments and digital twins.nbsp;nbsp;By leveraging parallel processing, real-time simulations in XR can achieve higher frame rates, more detailed environments, and real-time feedback, all of which are essential to crafting high-fidelity EVA training modules. nbsp; nbsp;