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Taiwanese electronics makers are utilizing Nvidia’s industrial digitalization, or digital twin, expertise to rework their factories into extra autonomous amenities.
These firms are already a part of Nvidia’s provide chain as makers of the AI supercomputers or PCs that use Nvidia’s chips. However now they’re additionally probably benefiting from the automation that’s made doable by Nvidia’s AI and graphics chips.
The brand new reference workflow combines Nvidia Metropolis imaginative and prescient AI, Nvidia Omniverse bodily based mostly rendering and simulation, and Nvidia Isaac AI robotic improvement and deployment. All of this tech will get utilized in digital twins.
Such twins allow an organization to design a manufacturing unit in digital kind by way of Omniverse simulations anchored by Nvidia’s chips. The engineers designing the manufacturing unit can get suggestions from the simulation about how good the design is. As soon as it’s perfected, they will construct the manufacturing unit in the actual world. And with sensors on the manufacturing unit, they will get digital details about how good the design actually is after which modify the digital design in a suggestions loop for steady enchancment.
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As a result of this has labored so properly, Nvidia has invested closely in software program for the Omniverse simulations, and it has additionally invested closely in its Isaac robotics platform. Nvidia additionally created its Metropolis tech for simulating how factories and even cities can work. And the mixture of all of this stuff helps Nvidia promote extra AI processors — and get lofty inventory market valuations for being an AI pureplay.
It’s fascinating how Nvidia is utilizing its robotics tech to automate factories in order that its robotics tech can get used extra. And Nvidia’s rivals don’t have as a lot to put money into rival ecosystems, and they also have a tougher time competing with Nvidia.
In a keynote discuss at Computex, Nvidia CEO Jensen Huang talked about these new bulletins associated to Taiwan’s electronics companies. He additionally famous that Nvidia’s robotics is getting adopted by firms who plan to make use of tens of thousands and thousands of them. By utilizing the workflow to construct digital twins for real-time simulation of various manufacturing unit layouts, producers can optimize house, processes and effectivity with out expensive
bodily modifications, Nvidia mentioned.
“AI for manufacturing is here. Every factory is becoming more and more autonomous due to the transformational impact of generative AI and digital twin technologies,” mentioned Deepu Talla, vp of robotics and edge computing at Nvidia, in a press release. “With Nvidia Omniverse, Metropolis and Isaac, the industrial ecosystem can accelerate its adoption of autonomous technologies, helping advance operational efficiencies and lower costs.”
Foxconn and others use Nvidia robotics tech for automated factories
Delta Electronics, Foxconn, Pegatron and Wistron are utilizing the reference workflow to
construct, simulate and function their robotics-enhanced amenities.
In a demo in the course of the Computex keynote, Huang demonstrated how Foxconn, one of many world’s largest electronics producers, develops digital twins of its factories on Nvidia Omniverse, a platform for just about integrating 3D information from main trade instruments equivalent to Teamcenter from the Siemens Xcelerator platform.
Foxconn operates greater than 170 factories all over the world — the newest one a digital plant pushing the state-of-the-art in industrial automation.
It’s the digital twin of a brand new manufacturing unit in Guadalajara, hub of Mexico’s electronics trade. Foxconn’s engineers are defining processes and coaching robots on this digital setting, so the bodily plant can
produce at excessive effectivity the subsequent engine of accelerated computing, Nvidia Blackwell HGX methods.
To design an optimum meeting line, manufacturing unit engineers want to seek out the most effective placement for dozens of robotic arms, every weighing lots of of kilos. To precisely monitor the general course of, they situate
1000’s of sensors, together with many networked video cameras in a matrix to indicate plant operators all the suitable particulars.
Such challenges are why firms like Foxconn are more and more creating digital factories for simulation and testing.
“Our digital twin will guide us to new levels of automation and industrial efficiency, saving time, cost and energy,” mentioned Younger Liu, chairman of Foxconn, which final yr had revenues of almost $200 billion.
Foxconn is constructing its digital twin with software program from the Siemens Xcelerator portfolio together with Teamcenter and Nvidia Omniverse, a platform for creating 3D workflows and purposes based mostly on
OpenUSD.
Nvidia and Siemens introduced in March that they’ll join Siemens Xcelerator purposes to Nvidia Omniverse Cloud API microservices. Foxconn will probably be among the many first to make use of the mixed companies, so its digital twin is bodily correct and visually lifelike.
Engineers will make use of Teamcenter with Omniverse APIs to design robotic work cells and meeting traces. Then they’ll use Omniverse to drag all of the 3D CAD components into one digital manufacturing unit the place their robots will probably be educated with NVIDIA Isaac Sim.
A rising set of producers is constructing digital twins to streamline manufacturing unit processes. Foxconn is among the many first to take the subsequent step in automation — coaching their AI robots within the digital twin. Contained in the Foxconn digital manufacturing unit, robotic arms from producers equivalent to Epson can discover ways to see, grasp and transfer objects with Nvidia Isaac Manipulator, a set of Nvidia-accelerated libraries and AI
basis fashions for robotic arms.
For instance, the robotic arms might discover ways to decide up a Blackwell server and place it on an autonomous cellular robotic (AMR). The arms can use Isaac Manipulator’s cuMotion to seek out inspection paths for merchandise, even when objects are positioned in the way in which.
Different producers take part
Delta Electronics, a producing chief in electronics and IoT-based good inexperienced options, is utilizing Nvidia Isaac Sim, an extensible robotics simulation platform developed on Omniverse and OpenUSD, an open and extensible ecosystem for 3D worlds, to just about combine its demo manufacturing traces. It then generates bodily correct, photorealistic artificial information for coaching laptop imaginative and prescient fashions for its Nvidia Metropolis-powered automated optical inspection (AOI) and defect detection options.
Pegatron, a Taiwan-based producer and repair supplier, is deploying an Nvidia Metropolis multi-camera workflow and launching a brand new suite of companies that connects its Omniverse and Metropolis manufacturing unit digital twin workflow to Nvidia NeMo and Nvidia NIM (Nvidia inference microservices) to assist manufacturing unit operators “chat” in actual time. The technological advances will assist enhance employee security and productiveness in Pegatron’s huge manufacturing unit community that spans over 21 million sq. ft and produces over 15 million assemblies per thirty days.
Wistron, a world chief in electronics manufacturing, has constructed digital twins of its factories to speed up the manufacturing of Nvidia DGX and Nvidia HGX servers. Now, it’s extending its use of Omniverse to develop digital twins of the information facilities which are used to check and make sure the high quality, efficiency and vitality consumption of newly assembled Nvidia HGX methods.
Utilizing Omniverse to simulate its facility and workflows first, Wistron introduced its manufacturing unit on-line in half the standard time — simply two and a half months as an alternative of 5 — and elevated employee effectivity by greater than 50% by way of testing and optimizing layouts.
“The combination of Nvidia Omniverse and Nvidia Metropolis allows us to test new layouts virtually to identify new processes and monitor real-time operations using live IoT data from every machine on the production line,” mentioned Alec Lai, president of world manufacturing at Wistron, in a press release. “Digitalizing our factory planning process has reduced end-to-end cycle times by 50%.”
Taiwan methods integrator Kenmec is an early implementer of each Omniverse and Metropolis workflows and companies for main producers equivalent to Big Group. To assist builders throughout the ecosystem, these digital twin workflows can be found as a reference structure sequence.
Nvidia robotics adopted by tech firms for tens of thousands and thousands of autonomous machines
Nvidia additionally mentioned the world’s leaders in robotic improvement are adopting the Nvidia Isaac robotics
platform for the analysis, improvement and manufacturing of the subsequent technology of AI-enabled autonomous machines and robots.
BYD Electronics, Siemens, Teradyne Robotics and Intrinsic, an Alphabet firm, are amongst greater than a dozen robotics trade leaders globally which are integrating Isaac accelerated libraries, bodily based mostly simulation and AI fashions into their software program frameworks and robotic fashions to make factories, warehouses and distribution facilities extremely environment friendly and safer for his or her human coworkers, and act as clever assistants for repetitive or ultra-precise duties.
“The era of robotics has arrived. Everything that moves will one day be autonomous,” mentioned Huang. “We are working to accelerate generative physical AI by advancing the Nvidia robotics stack, including Omniverse for simulation applications, Project GR00T humanoid foundation models and the Jetson Thor robotics computer.”
The Isaac platform contains a suite of Nvidia-accelerated libraries, AI basis fashions and simulation applied sciences which are obtainable immediately to robotic makers to combine into their expertise stacks.
Isaac’s early adopters are leaders in robotics and autonomous machine improvement throughout Asia, Europe and North America.
Siemens, world chief in industrial automation software program and methods, is utilizing Nvidia Isaac Sim for its highly effective software-in-the-loop capabilities. The Isaac applied sciences speed up Siemens improvement and testing of superior robotics expertise equivalent to SIMATIC Robotic PickAI (PRO) and SIMATIC Robotic Pack AI. The AI imaginative and prescient software program supplies cognitive AI-driven capabilities and permits industrial robotic methods to autonomously and reliably pick-and-pack arbitrary objects with none prior coaching of the AI by the consumer.
Siemens delivers industrial-grade AI and is pushing it to the forefront of robotics by seamlessly integrating with automation options and making it simple to make use of when deployed on a NVIDIA-powered Siemens industrial PC basis, bringing imaginative and prescient AI to the ecosystem of business robots.
Intrinsic, a software program and AI robotics subsidiary of Alphabet that acquired the Open Supply Robotics Company in late 2022, has efficiently examined Isaac Manipulator in its robot-agnostic software program platform. Intrinsic has demonstrated, utilizing Manipulator, the potential for a scalable, universally relevant robotic-grasping ability to work throughout grippers, environments and objects.
“We couldn’t have found a better collaborator in Nvidia, who are helping to pave the way for foundation models to have a profound impact on industrial robotics,” mentioned Wendy Tan White, CEO of Intrinsic in a press release. “As our teams work together on integrating NVIDIA Isaac and Intrinsic’s platform, the potential value we can unlock for millions of developers and businesses is immense.”
BYD Group has a robust manufacturing footprint throughout 4 main industries, together with electronics, automotive, new vitality and rail transportation worldwide. Its one subsidiary, BYD Electronics (BYDE), a world main supplier of high-tech and modern merchandise, is creating a full vary of autonomous cellular robots that present factories with full logistics options utilizing Isaac Sim and Isaac Perceptor.
“BYDE has a strong focus on helping customers accelerate deployment of logistics applications,” mentioned Chris Yotive, senior enterprise creating director of BYD Electronics, in a press release. “In collaboration with NVIDIA, we have developed advanced autonomous mobile robots powered by NVIDIA Isaac that will improve worker safety, reduce production costs and enhance production intelligence for our customers.”
Common Robots (UR) and Cell Industrial Robots (MiR), Teradyne Robotics firms, are utilizing Isaac to combine AI into automation. UR is integrating Isaac Manipulator into its PolyScope X software program platform to unlock new cobot options. MiR is leveraging Isaac Sim to generate artificial information and simulate its MiR1200 Pallet Jack for real-world deployments.
“The key to tackling our customers’ challenges in robotics lies in the industry’s ability to work together, in one collective effort,” mentioned Ujjwal Kumar, group president of Teradyne Robotics. “With Nvidia Isaac’s advanced AI and simulation capabilities plugged into our large installed base of autonomous mobile robots and cobots, we will push the envelope of innovation to achieve swift solutions for multiple
industries.”
The Nvidia Isaac platform is modular, enabling firms to undertake particular person or a number of applied sciences collectively. Corporations leveraging Isaac Perceptor for improvement of superior perception-based autonomous cellular robots embody: ArcBest, BYD Electronics, Gideon, idealworks and RGo Robotics.
Corporations leveraging Isaac Manipulator for constructing AI-based robotic arms embody: Solomon, Techman Robotic, Vention and Yaskawa.
Over 100 firms are adopting Isaac Sim to simulate, take a look at and validate robotic purposes, together with Hexagon, Husqvarna Group and MathWorks. Isaac Lab is being adopted by Agility, Boston Dynamics, Determine AI, Fourier Intelligence and Sanctuary AI.
Nvidia IGX with Holoscan
To deal with the growing want for real-time AI computing on the industrial edge, Nvidia additionally introduced the overall software program availability of Nvidia AI Enterprise-IGX with Nvidia Holoscan on the Nvidia IGX platform. Collectively, they empower resolution suppliers throughout the medical, industrial and scientific computing sectors to develop and deploy edge AI options quicker, with enterprise-grade software program and help.
Nvidia AI Enterprise-IGX is a brand new providing offering enterprises with unprecedented efficiency, safety and help for the complete edge computing software program stack, streamlining AI-powered operations and the deployment of AI purposes at scale.
Nvidia Holoscan is a sensor-processing platform for streamlining the event and deployment of AI and high-performance computing purposes to ship real-time insights.
By combining Nvidia AI Enterprise-IGX and Holoscan on IGX, NVIDIA provides an enterprise-grade platform that delivers highly effective AI compute, versatile sensor integration, real-time efficiency and useful security for the economic edge.