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Skild AI is partnering with ABB Robotics and Universal Robots to deploy its omni-bodied robot brain across industries and applications, from factory floors to collaborative systems, without task-by-task reprogramming
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PITTSBURGH, March 16, 2026 (GLOBE NEWSWIRE) — Skild AI, a pioneer in building generalized robot intelligence for any embodiment, today 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.
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Skild AI’s mission is to bring AI into the physical world through its general-purpose robotics foundation model, Skild Brain. It is an omni-bodied brain designed to control any kind of robotic hardware – any robot, any task, one brain. This enables a powerful data flywheel: the brain can combine data from different robot deployments and use it to improve itself, which in turn helps scale additional deployments that generate even more data.
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Skild AI’s partnership with these robotics OEMs will accelerate this data flywheel through the large-scale deployment of Skild Brain. Conventionally, industrial robots must be carefully programmed by human experts, task by task, which is difficult to scale and often impossible to automate. Skild’s omni-bodied AI brain offers a fundamentally different approach: learning directly from data.
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“Robotics is at an inflection point similar to where LLMs were a few years ago,” said Deepak Pathak, CEO of Skild AI. “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.”
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“This partnership helps us to bring automation and robotics for SMBs and non-traditional manufacturing and unlocks large-scale deployment of Skild Brain,” said Abhinav Gupta, President at Skild AI.
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Building Omni-Bodied Intelligence With NVIDIA’s Open Robotics Platform
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Training a robotic foundation model requires a large diversity of data, a process known as pretraining. For large language models such as ChatGPT, this data can be gathered from the Internet, but in robotics, there is no equivalent “Internet of robot data.” Skild AI’s approach is to leverage (a) internet scale human videos and (b) large-scale robot simulations.
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To realize this, Skild AI leverages 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.
