DeeperML

NVIDIA's Omniverse platform is gaining traction within industrial ecosystems as companies leverage digital twins to train physical AI. The Mega NVIDIA Omniverse Blueprint, now available in preview, empowers industrial enterprises to accelerate the development, testing, and deployment of physical AI. This blueprint provides a reference workflow for combining sensor simulation and synthetic data generation, enabling the simulation of complex human-robot interactions and verification of autonomous systems within industrial digital twins.

At Hannover Messe, leaders from manufacturing, warehousing, and supply chain sectors are showcasing their adoption of the blueprint to simulate robots like Digit from Agility Robotics. They are also demonstrating how industrial AI and digital twins can be used to optimize facility layouts, material flow, and collaboration between humans and robots. NVIDIA ecosystem partners like Delta Electronics, Rockwell Automation, and Siemens are also announcing further integrations with NVIDIA Omniverse and NVIDIA AI technologies at the event, further solidifying Omniverse's role in physical AI development.

ImgSrc: blogs.nvidia.co

References :

• NVIDIA Newsroom: Industrial Ecosystem Adopts Mega NVIDIA Omniverse Blueprint to Train Physical AI in Digital Twins
• NVIDIA Technical Blog: Simulating Robots in Industrial Facility Digital Twins

Classification:

• HashTags: #NvidiaAI #Omniverse #AIDigitalTwins
• Company: Nvidia
• Target: Industrial Enterprises
• Product: Omniverse
• Feature: AI Training & Inference
• Type: AI
• Severity: Informative