Skild AI Ushers in New Era of Generalized Robot Intelligence with NVIDIA, ABB, and Universal Robots

Pittsburgh, PA – March 17, 2026 – Skild AI, a pioneer in generalized robot intelligence, is expanding its reach through strategic collaborations with NVIDIA, ABB Robotics, and Teradyne Robotics’ Universal Robots (UR) and Mobile Industrial Robots (MiR). These partnerships aim to deploy Skild AI’s AI-powered “Skild Brain” across diverse industries and applications, marking a significant step towards more adaptable and autonomous robotic systems.

The Rise of Omni-Bodied Intelligence

Skild AI’s core innovation lies in its “omni-bodied brain,” a general-purpose robotics foundation model designed to control any type of robot for any task. This contrasts with traditional industrial robots that require extensive, task-specific programming by human experts – a process that is often difficult to scale and automate. Skild Brain learns directly from data, enabling a continuous improvement cycle as it gathers information from various deployments. According to Skild AI CEO Deepak Pathak, “Robotics is at an inflection point similar to where LLMs were a few years ago,” with advancements in hardware, simulation, and AI training making general-purpose robot intelligence increasingly viable.

Leveraging NVIDIA’s Robotics Platform

A key enabler of Skild AI’s technology is its collaboration with NVIDIA, utilizing the open NVIDIA Isaac Lab and NVIDIA Isaac Sim robot learning and simulation frameworks, along with the Newton physics engine. These tools allow Skild Brain to simulate vast amounts of experience in realistic digital environments before deployment in the real world. To further enhance learning, Skild AI incorporates NVIDIA Cosmos world foundation models to generate and augment synthetic data, improving robustness and the transfer of skills from simulation to real-world applications. Once trained, the generalized robot brain operates on systems powered by NVIDIA Jetson, enabling real-time AI inference.

Expanding Deployment with ABB Robotics and Universal Robots

Through its collaboration with NVIDIA, Skild AI is integrating its omni-bodied brain into the robot portfolios of ABB Robotics and Universal Robots. This integration allows manufacturers to extend automation to more dynamic and complex applications without the need for task-specific coding. Marc Segura, President of ABB Robotics, stated that integrating Skild AI’s intelligence will support customers scale industrial automation more quickly. Jean-Pierre Hathout, CEO of Universal Robots, echoed this sentiment, noting that the partnership will bring advanced AI capabilities to their collaborative robots (cobots), enabling them to handle a wider range of tasks.

Early Adoption in Advanced Manufacturing

Skild AI is already demonstrating its capabilities in advanced manufacturing, partnering with Foxconn to deploy its technology on NVIDIA’s Blackwell GPU production lines. The Skild Brain will control dual-arm robots performing complex assembly operations requiring precision and adaptability. This represents an early commercial deployment of generalized physical AI.

The Data Flywheel Effect

Skild AI’s approach fosters a powerful “data flywheel.” As Skild Brain is deployed across more robots and environments, it collects more data, which is then used to improve its performance. This continuous learning cycle accelerates the development and deployment of increasingly intelligent and adaptable robotic systems. Abhinav Gupta, President at Skild AI, highlighted that these partnerships will unlock large-scale deployment of Skild Brain and bring automation to SMBs and non-traditional manufacturing sectors.

Looking Ahead

The collaboration between Skild AI, NVIDIA, ABB Robotics, and Universal Robots signals a significant shift in the robotics landscape. By moving away from task-specific programming towards generalized intelligence, these companies are paving the way for a future where robots can adapt to changing environments and perform a wider range of tasks with greater efficiency and autonomy. This advancement is particularly crucial as the United States focuses on rebuilding domestic manufacturing capacity and increasing automation.