ABB Robotics and NVIDIA have announced a partnership that embeds NVIDIA Omniverse libraries directly into ABB's RobotStudio programming and simulation suite. The result is a new product called RobotStudio HyperReality, targeting one of industrial robotics' oldest problems: the "sim-to-real gap."

What the Gap Is

For decades, robots trained or validated in virtual environments have behaved differently when deployed in actual factories. Lighting doesn't match, materials behave unpredictably, and positioning drifts. Manufacturers have had to compensate with expensive real-world testing and extended commissioning cycles.

What ABB and NVIDIA Are Claiming

The integration delivers up to 99% correlation between simulated and real-world robot behavior — a figure ABB attributes to running the same firmware in both the virtual controller and the physical robot. ABB's Absolute Accuracy technology reportedly narrows positioning errors from 8–15 mm down to around 0.5 mm.

On the business side: deployment costs could drop by up to 40%, time-to-market by up to 50%, and setup and commissioning times by up to 80%, according to NVIDIA's announcement. These are ABB's projections, not independently verified benchmarks.

Who's Already Using It

Early pilots include Foxconn, the world's largest contract electronics manufacturer, and Workr, a U.S.-based automation startup focused on small and medium-size manufacturers. RobotStudio is already used by more than 60,000 robotics engineers globally.

RobotStudio HyperReality is expected to ship in the second half of 2026. ABB is also exploring integrating the NVIDIA Jetson edge AI platform into its Omnicore robot controller for real-time inference.

The announcement follows a broader push at NVIDIA GTC 2026, where physical AI and industrial robotics were a central theme. Whether 99% sim-to-real accuracy holds under production conditions remains to be seen — but the scale of the Foxconn pilot may settle that question before the year is out.