Digital Event Horizon
OpenUSD, a powerful open standard for describing and connecting complex 3D worlds, is revolutionizing industrial and physical AI development by empowering developers to create physically accurate digital twins. With NVIDIA's latest advancements in OpenUSD development, digital twin creation is becoming faster and more efficient than ever before. The future of industry looks bright with the power of OpenUSD and digital twin technology at its core.
Digital twins are physically accurate representations of real-world environments, facilities, and processes used for training AI agents and optimizing industrial operations. NVIDIA has launched an industry-recognized OpenUSD development certification and a free digital twins learning path to empower developers. Industry leaders such as Siemens, Sight Machine, Rockwell Automation, EDAG, Amazon Devices & Services, and Vention are building digital twin solutions using Omniverse libraries and OpenUSD. NVIDIA's research advancements in rendering, AI-assisted material generation, and simulation help developers scale digital twin development.
The world of industrial and physical AI development is undergoing a significant transformation, thanks to the growing demand for digital twins across various industries. Digital twins, also known as virtual replicas or clones, are physically accurate representations of real-world environments, facilities, and processes. These virtual models serve as a training ground for vision AI agents, autonomous vehicles, and robot fleets to operate safely, efficiently, and reliably.
The Alliance for OpenUSD (AOUSD) has recently welcomed new general members, including prominent names such as Accenture, Esri, HCLTech, PTC, Renault, and Tech Soft 3D. These additions underscore the continued growth of the OpenUSD community and its commitment to unifying 3D workflows across industries.
To address the growing demand for OpenUSD and digital twins expertise, NVIDIA has launched a new industry-recognized OpenUSD development certification and a free digital twins learning path. This move is aimed at empowering developers to integrate industrial and 3D data to create physically accurate digital twins.
Industry leaders such as Siemens, Sight Machine, Rockwell Automation, EDAG, Amazon Devices & Services, and Vention are building digital twin solutions with Omniverse libraries and OpenUSD to enable transformation with industrial and physical AI. These solutions are enabling faster design reviews, minimizing the need for physical prototypes, and accelerating time to market while reducing costs.
Siemens' Teamcenter Digital Reality Viewer enables engineers to visualize, interact with, and collaborate on photorealistic digital twins at unprecedented scale. Sight Machine's Operator Agent platform combines live production data, agentic AI-powered recommendations, and digital twins to provide real-time visibility into production and enable faster, more informed decisions for plant operations teams.
Rockwell Automation's Emulate3D Factory Test platform enables manufacturers to build factory-scale, physics-based digital twins for simulating, validating, and optimizing automation and autonomous systems at scale. EDAG's industrial digital twin platform helps manufacturers improve project management, optimize production layouts, train workers, and perform data-driven quality assurance.
Amazon Devices & Services uses digital twins to train robotic arms to recognize, inspect, and handle new devices. Robotic actions can be configured to manufacture products purely based on training performed in simulation, including for steps involved in assembly, testing, packaging, and auditing. Vention is using NVIDIA robotics, AI, and simulation technologies, including Omniverse libraries, Isaac Sim, and Jetson hardware, to deliver plug-and-play digital twin and automation solutions that simplify and accelerate the deployment of intelligent manufacturing systems.
NVIDIA's recent announcements at SIGGRAPH have brought significant advancements in OpenUSD development, enabling developers to fast-track the construction of digital twins at scale. The company has launched new research, NVIDIA Omniverse libraries, NVIDIA Cosmos WFMs, and advanced AI infrastructure, including NVIDIA RTX PRO Servers and NVIDIA DGX Cloud.
The latest Omniverse software development kits bridge MuJoCo and Universal Scene Description (OpenUSD), enabling over 250,000 MJCF robot learning developers to simulate robots across platforms. Omniverse NuRec libraries and AI models enable Omniverse RTX ray-traced 3D Gaussian splatting, allowing developers to capture, reconstruct, and simulate the real world in 3D using sensor data.
NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 open-source robot simulation and learning frameworks are now available on GitHub. Isaac Sim features NuRec neural rendering and new OpenUSD robot and sensor schemas to narrow the simulation-to-reality gap. Cosmos WFMs, including Cosmos Transfer-2 and NVIDIA Cosmos Reason, deliver leaps in synthetic data generation and reasoning for physical AI development.
NVIDIA research advances in rendering and AI-assisted material generation help developers scale digital twin development. These advancements are crucial for accelerating the adoption of digital twins across industries and enabling the widespread use of industrial and physical AI.
The growth of OpenUSD and digital twin technology is transforming the way manufacturers, industries, and companies approach their workflows. As NVIDIA continues to push the boundaries of what is possible with these technologies, we can expect significant advancements in the years to come.
Related Information:
https://www.digitaleventhorizon.com/articles/The-Power-of-OpenUSD-Revolutionizing-Industrial-and-Physical-AI-Development-deh.shtml
https://blogs.nvidia.com/blog/openusd-digital-twins-industrial-physical-ai/
Published: Wed Aug 20 09:22:43 2025 by llama3.2 3B Q4_K_M
