Major robotics companies are using NVIDIA tools and technologies to launch humanoid systems that can be trained virtually, tying humanoid robots into manufacturing and adopting physical AI into the manufacturing space.
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Physical AI is NVIDIA’s term for the ability to map out real-world situations in safe, physics-based simulations to test different situations on computers before putting them onto factory floors, testing on computers before risking people and parts in real-world environments.
NVIDIA, which designs but does not manufacture computer chips, is the leading supplier of technology for the computer hardware that runs AI data centers worldwide. Popularity of AI drove NVIDIA to a $5 trillion market value this week.
The companies using this technology include Belden, Caterpillar, Foxconn, Lucid Motors, Toyota, TSMC and Wistron, which build NVIDIA Omniverse factory digital twins to accelerate AI-driven manufacturing, according to an Oct. 28 release.
Mainly, they are using NVIDIA’s three-computer architecture to build and deploy advanced fleets of robots that will play a critical role in bridging skills gaps, enhancing worker productivity and improving safety across industries.
Agility Robotics, Amazon Robotics, Figure and Skild AI are among those using the three-computer architecture. Skild AI is building a general-purpose robotics foundation model that spans legged, wheeled and humanoid robots, while FieldAI is training robots for monitoring and inspection in construction and oil and gas environments, using the technology to improve data generation and software-in-the-loop validation.
Companies like Amazon Robotics is using Omniverse platforms to shorten the development of manipulation systems and mobile robots. Figure is collaborating with NVIDIA to build its Helix vision language action model as part of its humanoid fleet capable of industrial support.
NVIDIA claimed this will play a critical role in bridging skills gaps, enhancing worker productivity and improving safety across industries.
See also: Way out of the talent shortage: AI as a catalyst for a workforce surge
AI is already reshaping factory floors through voice-activated controls, touchless ERP interfaces and predictive AI tools that enable workers to work more efficiently, minimizing manual input and improving accuracy. Instead of searching through multiple systems, workers can rely on AI to surface the right information in real time.
The use of this technology is notable as labor shortages persist—by 2030, an estimated 2.1 million jobs will remain unfilled, leaving factories struggling to meet production demands—and as U.S. manufacturing integrates AI into floor operations.
See also: NNAISENSE's Industrial AI Academy to help manufacturers keep innovating
