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Skild AI Expands Generalized Robot Intelligence Across Industries
Partners with ABB Robotics, Universal Robots, and NVIDIA to deploy AI-powered robot brain
Mar. 17, 2026 at 12:51am
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Skild AI, a pioneer in building generalized robot intelligence, announced expanded collaborations with NVIDIA, ABB Robotics, and Teradyne Robotics' Universal Robots (UR) and Mobile Industrial Robots (MiR) to deploy its AI-powered robot brain across multiple industries and applications. The company's technology is to be shipped to production environments, including high-precision assembly for NVIDIA Blackwell systems with Foxconn.
Why it matters
Skild AI's mission is to bring AI into the physical world through its general-purpose robotics foundation model, Skild Brain, which is designed to control any kind of robotic hardware. This enables a powerful data flywheel where the brain can combine data from different robot deployments and use it to improve itself, helping to scale additional deployments that generate even more data.
The details
Skild AI is leveraging NVIDIA's open robotics platform, using the open NVIDIA Isaac Lab and NVIDIA Isaac Sim robot learning and simulation frameworks and the Newton physics engine to create physically accurate simulations. These tools allow the Skild Brain to simulate millennia of experience in realistic digital environments, across tasks and settings, before deploying in the real world. Once the Skild Brain is pretrained, it is then finetuned using small amounts of real robot data. Skild AI is also incorporating NVIDIA Cosmos world foundation models to generate and augment synthetic data, improving robustness and sim-to-real transfer.
- Skild AI announced the expanded collaborations on March 16, 2026.
The players
Skild AI
A pioneer in building generalized robot intelligence for any embodiment.
NVIDIA
A technology company that provides graphics processing units (GPUs) and other computing platforms.
ABB Robotics
A global leader in industrial robotics and automation.
Universal Robots
A subsidiary of Teradyne Robotics that manufactures collaborative robots (cobots).
Foxconn
A Taiwanese multinational electronics manufacturer.
What they’re saying
“Robotics is at an inflection point similar to where LLMs were a few years ago. Advances in hardware, simulation, and large-scale AI training are making general-purpose robot intelligence possible. By training an omni-bodied intelligence that transfers skills across embodiments and environments, we're shifting from programming tasks to building systems that continuously learn and improve, even during deployment.”
— Deepak Pathak, CEO of Skild AI (GlobeNewswire)
“Physical AI is transforming the world's largest industries. Built on NVIDIA's open robotics platform and accelerated computing, Skild AI's generalized robot brain demonstrates how foundation models trained in simulation can be deployed on real robots at scale.”
— Deepu Talla, Vice President of Robotics and Edge AI at NVIDIA (GlobeNewswire)
“At ABB Robotics, we see more autonomous and versatile robotics (AVR™) as the enabler for the next era of flexible and efficient manufacturing. Integrating Skild AI's generalized robot intelligence into our portfolio will help customers scale industrial-grade automation more quickly and address increasingly complex applications scenarios across a broad range of industries.”
— Marc Segura, President, ABB Robotics (GlobeNewswire)
“Universal Robots was founded to make automation simple and accessible. Working with Skild AI and NVIDIA allows us to bring advanced AI capabilities to our cobots — enabling them to handle more dynamic, variable tasks across industries.”
— Jean-Pierre Hathout, CEO, Universal Robots (GlobeNewswire)
What’s next
Skild AI is planning to ship its omni-bodied brain to control dual-arms on NVIDIA's Blackwell GPU production lines at Foxconn, performing complex assembly operations requiring precise manipulation and adaptability.
The takeaway
Skild AI's generalized robot intelligence, powered by partnerships with leading robotics and AI companies, is poised to transform the future of automation and flexible manufacturing across industries by enabling adaptable, continuously learning robot systems.





