OpenUSD
5 use cases using this technology
How Bouygues Construction Drives Sustainable Building Innovation With Digital Twins
Bouygues Construction
Bouygues Construction, a global construction and infrastructure company based in France, built custom digital twin applications on NVIDIA Omniverse using the OpenUSD framework to unify 3D data from Revit, SolidWorks, and Cesium into a single collaborative environment. Using NVIDIA Isaac Sim, the company generates photorealistic synthetic training data for AI-based computer vision models covering rare or hazardous jobsite scenarios, and uses NVIDIA RTX PRO GPUs for real-time ray tracing. The approach delivered a 5x improvement in data integration speed and enabled safer job site planning through AI-driven construction site simulations and predictive scenario testing.
So nutzt Krones digitale Zwillinge und KI in der Produktion
Krones AG
Krones, working with technology-ecosystem partners Ansys (part of Synopsys), Cadfem, Microsoft Azure, Nvidia (Omniverse/OpenUSD) and SoftServe, developed 'Agentic Digital Twins' that combine physically exact real-time simulation with AI agents capable of judgment and decision-making for beverage production lines. Simulation runs that previously took three to four hours now complete in under five minutes; the AI agents test scenarios and settings, optimize workflows, and transfer the best solutions to real equipment. The digital twin was used in developing Krones' new 'Ingeniq' line concept, presented at Drinktec 2025. Compute-intensive simulations run on Microsoft Azure using Nvidia's accelerated computing platform.
Schaeffler Transforms Production With Digital Twins and Physical AI on NVIDIA Omniverse
Schaeffler Group
Schaeffler Group built a digital twin platform on NVIDIA Omniverse and OpenUSD, in collaboration with Wandelbots, to plan, simulate and optimize plants, machines and workflows across its 100+ global manufacturing sites. Pilot projects in e-motor assembly (China), an inverter assembly line (Germany), and Vehicle Lifetime Solutions warehouses (Europe) cut robotic task development time from hundreds of hours to half a day and reduced commissioning times for new production lines; Schaeffler plans to integrate digital twins into more than half its manufacturing sites by 2030.
Foxconn Develops Physical AI-Enabled Smart Factories With Digital Twins
Foxconn (Hon Hai Technology Group)
Foxconn (Hon Hai Technology Group) uses physically accurate digital twins integrating NVIDIA Omniverse libraries and OpenUSD to design, deploy, and manage high-volume production facilities, including those producing NVIDIA GB200 Grace Blackwell Superchip systems. Its Fii Omniverse Digital Twin (FODT) platform creates virtual replicas of factories, enabling simulation-driven design, real-time monitoring, and optimized operations. Using NVIDIA PhysicsNeMo AI models, Foxconn achieves 150x faster computational fluid dynamics simulations for thermal analysis (minutes vs. hours). Standardized OpenUSD-based digital twin assets enable rapid migration of entire production lines between global factories (e.g., Taiwan to Mexico). Robot workcells and AGV logistics are simulated in FODT before physical deployment: complex robotic tasks such as screw tightening and cable insertion are simulated and refined with NVIDIA Isaac Sim, Isaac Lab, FoundationPose models, and NVIDIA cuMotion, while AGV path is optimized by connecting simulations with Material Control Systems and NVIDIA cuOpt. Foxconn also built video analytics AI agents with NVIDIA Metropolis and the NVIDIA AI Blueprint for video search and summarization to monitor factory floors, and developed FoxBrain, an AI platform powered by NVIDIA NeMo trained in four weeks, described as Taiwan's first large language model with advanced reasoning capabilities. Leo Guo, General Manager of Fii Robotic Group, said the company believes it can cut factory setup and planning time by about 50%.
Schaeffler Group: Transforming Production With Digital Twins and Physical AI
Schaeffler Group
Schaeffler Group built a digital twin platform using NVIDIA Omniverse and OpenUSD to plan, simulate and optimize plants, machines and workflows across its global manufacturing operations, in collaboration with NVIDIA and robotics partner Wandelbots. The platform reduced commissioning times through virtual commissioning and facility layout planning, and cut robotic task development time from hundreds of hours to half a day using AI-driven simulation and training. At its Germany inverter assembly line, Schaeffler achieved reliable robotics performance after 24 hours of training and, with Wandelbots' virtual controller and reinforcement learning, refined robotic movements to within 5-6 centimeters for gearbox assembly tasks. Pilot projects are underway in China and Germany, including e-motor assembly and Vehicle Lifetime Solutions warehouses, with plans to integrate digital twins into more than half of Schaeffler's 100+ global manufacturing sites by 2030.