Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse.
As industrial and physical AI streamline workflows, businesses are looking for ways to most effectively harness these technologies.
Scaling AI in industrial settings — like factories and other manufacturing facilities — presents unique challenges, such as fragmented data pipelines, siloed tools and the need for real-time, high-fidelity simulations.
The Mega NVIDIA Omniverse Blueprint — available in preview on build.nvidia.com — helps address these challenges by providing a scalable reference workflow for simulating multi-robot fleets in industrial facility digital twins, including those built with the NVIDIA Omniverse platform.
Industrial AI leaders — including Accenture, Foxconn, Kenmec, KION and Pegatron — are now using the blueprint to accelerate physical AI adoption and build autonomous systems that efficiently perform actions in industrial settings.
Built on the Universal Scene Description (OpenUSD) framework, the blueprint enables seamless data interoperability, real-time collaboration and AI-driven decision-making by unifying diverse data sources and improving simulation fidelity.
Industrial Leaders Adopt the Mega Blueprint
At Hannover Messe, the world’s largest industrial trade show that took place in Germany earlier this month, Accenture and Schaeffler, a leading motion technology company, showcased the adoption of the Mega blueprint to simulate Digit, a humanoid robot from Agility Robotics, performing material handling in kitting and commissioning areas.
KION, a supply chain solutions company, with Accenture are now using Mega to optimize warehouse and distribution processes.
At the NVIDIA GTC global AI conference in March, Accenture and Foxconn representatives discussed the impacts of introducing Mega into their industrial AI workflows.
Accelerating Industrial AI With Mega
With the Mega blueprint, developers can accelerate physical AI workflows through:
- Robot Fleet Simulation: Test and train diverse robot fleets in a safe, virtual environment to ensure they work seamlessly together.
- Digital Twins: Use digital twins to simulate and optimize autonomous systems before physical deployment.
- Sensor Simulation and Synthetic Data Generation: Generate realistic sensor data to ensure robots can accurately perceive and respond to their real-world environment.
- Facility and Fleet Management Systems Integration: Connect robot fleets with management systems for efficient coordination and optimization.
- Robot Brains as Containers: Use portable, plug-and-play modules for consistent robot performance and easier management.
- World Simulator With OpenUSD: Simulate industrial facilities in highly realistic virtual environments using NVIDIA Omniverse and OpenUSD.
- Omniverse Cloud Sensor RTX APIs: Ensure accurate sensor simulation with NVIDIA Omniverse Cloud application programming interfaces to create detailed virtual replicas of industrial facilities.
- Scheduler: Manage complex tasks and data dependencies with a built-in scheduler for smooth and efficient operations.
- Video Analytics AI Agents: Integrate AI agents built with the NVIDIA AI Blueprint for video search and summarization (VSS), leveraging NVIDIA Metropolis, to enhance operational insights.
Dive deeper into the Mega blueprint architecture on the NVIDIA Technical Blog.
Industrial AI is also being accelerated by the latest Omniverse Kit SDK 107 release, including major updates for robotics application development and enhanced simulation capabilities such as RTX Real-Time 2.0.
Get Plugged Into the World of OpenUSD
Learn more about OpenUSD and industrial AI by watching sessions from GTC, now available on demand, and by watching how ecosystem partners like Pegatron and others are pushing their industrial automation further, faster.
Join NVIDIA at COMPUTEX, running May 19-23 in Taipei, to discover the latest breakthroughs in AI. Watch NVIDIA founder and CEO Jensen Huang’s keynote on Sunday, May 18, at 8:00 p.m. PT.
Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the new self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute.
For more resources on OpenUSD, explore the Alliance for OpenUSD forum and the AOUSD website.
Plus, tune in to the “OpenUSD Insiders” livestream taking place today at 11:00 a.m. PT to hear more about the Mega NVIDIA Omniverse Blueprint. Additionally, don’t miss next week’s livestream on April 26 at 11:00 a.m. PT, to hear Accenture discuss how they’re using the blueprint to build Omniverse digital twins for training and testing industrial AI’s robot brains.
Stay up to date by subscribing to NVIDIA news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X.
Featured image courtesy of:
Left and Top Right: Accenture, KION Group
Middle: Accenture, Agility Robotics, Schaeffler
Bottom Right: Foxconn
