Delivering industrial-grade physical AI at scale
ABB Robotics announced it is integrating Nvidia Omniverse libraries into ABB Robotics’ RobotStudioto help manufacturers deploy physical AI in real world robotics applications. “Today, using Nvidia accelerated computing and simulation technologies, we have removed the last barriers to making industrial and physical AI a reality at a global scale by closing the sim-to-real gap,” said Marc Segura, President of ABB Robotics. “For more than 50 years, ABB Robotics has led the evolution of intelligent industrial automation, from pioneering the first generation of fully electric industrial robots to advancing digital twin simulation through RobotStudio and shaping a new area of autonomous and versatile mobile robots. Today’s announcement with Nvidia brings physical AI to industry at scale.”
The collaboration focuses on combining ABB Robotics’ software programming, design and simulation suite, RobotStudio, with the physically accurate simulation power of Nvidia Omniverse libraries to close technology's long-standing “sim-to-real” gap. Developers can simulate robots in digital twins and generate synthetic data to train their physical AI models, enabling businesses of all types and sizes to deploy AI-driven robotics for various industrial workflows. Called RobotStudio HyperReality, the resulting physically accurate simulations and foundation models are endlessly optimized with real-world data feedback continuously improving the system. These models can be used to train any number of ABB robots, anywhere in the world, with the reliability and accuracy demanded by industry.
“The industrial sector needs physically accurate simulation to bridge the gap between virtual training and the real-world deployment of AI-driven robotics at scale,” said Deepu Talla, vice president of robotics and edge AI at Nvidia. “Integrating Nvidia Omniverse libraries into RobotStudio brings advanced simulation and accelerated computing to ABB Robotics’ unique virtual controller technology, accelerating how manufacturers of all sizes bring complex products to market.”
The long-standing deficit between simulation accuracy and real-world lighting, materials and environments is known as the “sim-to-real” gap. For decades, this gap has limited the ability of manufacturers to design and develop advanced manufacturing processes in the virtual world. By integrating Nvidia Omniverse libraries into RobotStudio, ABB Robotics will deliver unprecedented robotics simulation and synthetic data generation capabilities that will allow intelligent robots to bridge this gap with up to 99% accuracy. ABB is the only robot manufacturer with a virtual controller running the same firmware as the hardware, ensuring a near perfect correlation between simulation and real-world performance. Combined with ABB Robotics’ Absolute Accuracy technology, which reduces positioning errors from 8-15 mm to around 0.5 mm, ABB delivers unmatched precision in both virtual and physical environments, making it suited to high-precision industrial-grade applications.
This innovation enables manufacturers to design, test, and optimize production lines virtually, cutting setup and commissioning times by up to 80 percent, reducing costs by up to 40 percent by eliminating the need for physical prototypes, and accelerating time-to-market for complex products such as consumer electronics by 50%. ABB Robotics is also assessing the potential to integrate the Nvidia Jetson edge computing platform into its Omnicore controller to achieve real-time AI inference at the edge for its extensive robot portfolio. Today’s announcement builds upon ABB Robotics’ long-standing work with Nvidia, including the previous integration of Nvidia Jetson into ABB Robotics’ Vslam autonomous mobile robots as well as the development of gigawatt-scale AI data centers. RobotStudio HyperReality will serve industrial clients at any scale, across a breadth of industries and applications, with select customers already testing its capabilities ahead of a full release to ABB Robotics’ 60,000 RobotStudio customers worldwide in the second half of 2026.



