NVIDIA launches industrial digital twin blueprint to advance physical AI

NVIDIA has introduced the Mega Omniverse Blueprint, a reference workflow designed to accelerate the development and deployment of physical AI in industrial environments. Unveiled at Hannover Messe 2025, the blueprint enables simulation and validation of multi-robot fleets and visual AI agents within digital twins of industrial facilities. Companies like Accenture and Schaeffler are already using the platform to optimize human-robot collaboration and facility operations.

The blueprint supports diverse AI agents and robotics applications, enabling the testing of sensor-based decision-making and coordinated fleet behavior before real-world deployment. It incorporates NVIDIA’s ecosystem technologies including Omniverse, OpenUSD, and synthetic data generation. Visual AI agents can also be integrated to enhance warehouse compliance, safety, and productivity.

NVIDIA emphasized the blueprint’s role in reducing development risk and cost, fostering continuous learning cycles between digital simulations and physical environments. Partners such as Delta Electronics, Rockwell Automation, and Siemens are expanding integrations with NVIDIA technologies to support the industrial sector's shift toward AI-driven automation.

NVIDIA is also promoting its OpenUSD training curriculum and visual AI tools to support developers working in robotics and digital twin environments.