ABB Robotics announced it is integrating NVIDIA Omniverse libraries into ABB Robotics? RobotStudio® to help manufacturers deploy physical AI in real world robotics applications. 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. 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 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%, reducing costs by up to 40% 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. 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. Foxconn, the world?s largest electronics contract manufacturer, is piloting the first joint use case in consumer electronics assembly. Automating the assembly of a tiny piece in consumer electronics is challenging, as multiple device variants require different production methods and the delicate metal structure requires precise pick-and-place and assembly control, as well as fine-tuned setup, often demanding additional debugging time and engineering resources.
Using RobotStudio HyperReality, Foxconn?s assembly robots are trained virtually, using synthetic data to perfect multiple real-world production processes in various scenarios, before moving them to the production line with 99% accuracy. By optimizing production lines virtually, Foxconn will reduce set-up times and costs by eliminating physical training and tests, and accelerate time-to-market for consumer electronics. WORKR, a California based robotic workforce company that delivers robotic manufacturing solutions to industry, is extending the reach of this technology to small and medium manufacturers across the United States.
At NVIDIA GTC 2026 (March 16-19, San Jose, CA), WORKR will demonstrate AI-powered robotic systems built on ABB technology, trained with synthetic data using NVIDIA Omniverse libraries, and deployed without operators needing to know any programming. By combining ABB's industrial grade robotics with its proprietary WorkrCore? AI platform, the company is helping manufacturers address critical labor shortages with its robotic workforce that can learn new tasks in minutes and be operated by anyone.
