NVIDIA Releases the Mega Omniverse Blueprint for Creating Digital Twins of Industrial AI Robot Fleets. Through software-defined testing and optimization for factories and warehouses, a new framework opens the door to the next phase of industrial AI and robot simulation.
Gartner estimates that $5 trillion would be spent globally by end users on all IT goods in 2024. This sector is entirely software-defined, accelerated, and now enabled by generative AI. It is based on the computational fabric of electrons. Despite its size, it only makes up a small portion of the physical industrial AI business, which depends on atom transportation.
The “computing” fabric of with physical world is made up of 40 million miles of roadways, 10 million industries, and around 200,000 warehouses. However, the design, operation, and optimization of that extensive network of production and distribution facilities are still done by hand and with much effort.
Operators in distribution and warehousing must make decisions based on extremely complicated decision optimization problems with matrices of variables and interdependencies between equipment, robotic and agentic systems, and human personnel. The physical industrial AI market is still awaiting its own software-defined moment, in contrast to the IT sector.
That time is approaching.
“Mega,” an Omniverse Blueprint for creating, testing, and refining physical AI and robot fleets at scale in a digital twin prior to deployment into real-world facilities, was unveiled by NVIDIA today at CES.
Robotic arm manipulators, humanoids, and hundreds of autonomous mobile robots are used in advanced industries and warehouses. Coordinated simulation training is necessary to optimize operations, aid assure safety, and prevent interruptions as sensor and robot autonomous systems become more sophisticated.
To handle immense complexity and scale, Mega provides businesses with a reference architecture of NVIDIA accelerated computing, AI, NVIDIA Isaac, and NVIDIA Omniverse technologies to create and test digital twins for testing AI-powered robot brains that control robots, video analytics AI agents, equipment, and more. Continuous development, testing, optimization, and deployment are made possible by the new framework, which extends software-defined capabilities to physical facilities.
Developing AI Brains With World Simulator for Autonomous Orchestration
Enterprises may continually upgrade facility robot brains for intelligent routes and duties for operational efficiency using Mega-driven digital twins, which include a world simulator that coordinates all robot operations and sensor data.
For high-fidelity large-scale sensor simulation, the design makes use of Omniverse Cloud Sensor RTX APIs, which let robotics developers display sensor data from every kind of intelligent equipment in the factory concurrently. This enables the use of synthetic data in a software-in-the-loop pipeline with NVIDIA Isaac ROS to test robots in an endless number of situations within the digital twin.
As the first to use Mega, supply chain solutions provider KION Group is working with Accenture and NVIDIA to optimize processes in retail, consumer packaged goods, parcel services, and other areas.
This are reimagining warehouse automation with the help of Accenture’s digital technology know-how and NVIDIA’s strength in AI. With the help of these powerful partners, they are developing a vision for warehouses of the future that can manage almost any supply chain difficulty, are a part of an intelligent, flexible system, and change with the times.
Creating Operational Efficiencies With Mega Omniverse Blueprint
KION and Accenture are using the Mega Omniverse Blueprint to develop next-generation supply chains for KION and its clients, resulting in operational savings. KION may leverage computer-aided design files, video, lidar, images, and AI-generated data to capture and digitize a warehouse digital twin in Omniverse.
Utilising smart cameras, forklifts, robotic equipment, and virtual people, KION’s industrial AI robot brains are trained and tested virtually in the Omniverse digital twin, which is powered by NVIDIA Isaac. KION’s warehouse management software can design and assign tasks for robot brains, such as transporting a cargo from one location to another, by integrating the Omniverse digital twin.
By seeing and analyzing their surroundings, these virtual robots are able to do tasks. They can also plan their future movements and execute actions that are replicated in the digital twin. Mega carefully monitors the location and condition of every asset in the digital twin while the robot brains process the data and determine the next course of action.
Delivering Services With Mega for Facilities Everywhere
As part of its AI Refinery for Simulation and Robotics, which is based on NVIDIA AI and Omniverse, Accenture, a leader in professional services globally, is implementing Mega to assist businesses in using AI simulation to reimagine ongoing operations and manufacturing and warehouse architecture.
Accenture is providing new services with the blueprint, such as AI-Powered Industrial AI Manufacturing and Logistics Simulation and Optimization, Intelligent Humanoid Robotics, and Custom Robotics and Manufacturing Foundation Model Training and Finetuning, to increase the capabilities of physical AI and simulation for factories and warehouse operators worldwide. For instance, a company may now investigate a wide range of warehousing possibilities before selecting and putting into practice the finest one.
In digital twins, where they may run hundreds of possibilities and rapidly choose the best for existing or shifting market conditions, including seasonal market demand or workforce availability, NVIDIA and KION will assist the clients in planning their operations. This symbolizes a new frontier of value that the clients may attain via the use of AI, data, and technology.
