ABB Robotics is integrating NVIDIA Omniverse libraries into RobotStudio to boost robotic simulation and streamline real-world deployments. The potential will likely be launched because the subscription-based RobotStudio HyperReality within the second half of 2026.
ABB mentioned RobotStudio is utilized by greater than 60,000 robotics engineers worldwide to design robotic cells, program robots offline, and simulate manufacturing processes. The businesses mentioned improved simulation and AI coaching workflows may make automation extra sensible for small and mid-sized producers.
With the brand new integration, robotic cells, together with robots, sensors, components, and lighting, will be exported to Omniverse environments for physics-based simulation and rendering. ABB mentioned the improved simulation, mixed with its Absolute Accuracy calibration expertise, can scale back robotic positioning errors to round 0.5 mm in calibrated programs. It added that this helps keep consistency between simulation and deployed purposes.
“RobotStudio HyperReality makes industrial-grade bodily AI prepared for real-world deployment at scale,” mentioned Marc Segura, president of ABB Robotics. “It might considerably speed up product growth, reducing setup instances by as much as 80%, lowering prices by 40%, and enabling concurrent engineering with out bodily prototypes—finally dashing time-to-market by round 50% for advanced merchandise.”
ABB’s digital controller runs the identical firmware as its bodily robotic controllers, permitting builders to check movement packages and automation workflows in simulation earlier than deploying them to manufacturing programs. ABB claims it’s the solely robotic producer with a digital controller working the identical firmware because the {hardware}. Segura mentioned this makes the partnership with NVIDIA distinctive in comparison with NVIDIA’s offers with different robotic arms makers reminiscent of Fanuc, Common Robots, Yaskawa and others.
ABB plans to supply RobotStudio HyperReality as a subscription alongside the present RobotStudio tiers. The platform presently features a free model and a paid RobotStudio Premium providing utilized by industrial clients.
ABB is promoting its robotics group to Softbank for $5.375 billion. The deal was introduced in October 2025 and is predicted to shut in mid-to-late 2026. SoftBank is shopping for ABB’s robotics enterprise to develop its robotics and AI capabilities. Segura mentioned at this time’s cope with NVIDIA had nothing to do with the pending sale to Softbank.
“[The partnership with NVIDIA] aligns very properly with our future technique, however this growth truly stems from an extended‑standing collaboration with NVIDIA,” he mentioned. “NVIDIA is powering our autonomous cell robots for visible SLAM and autonomous navigation, and we’ve been discussing this integration for a while. Two applied sciences are lastly maturing: simulation expertise and generative AI. While you convey these collectively, it makes excellent sense to speed up.”
Industrial robots have historically been deployed in high-volume manufacturing environments, the place the price of programming and commissioning programs will be unfold throughout massive manufacturing runs. In high-mix manufacturing environments, the engineering effort required to program robots typically limits adoption. The businesses mentioned RobotStudio HyperReality may scale back setup time and engineering effort for brand spanking new purposes.
NVIDIA mentioned ABB can also be exploring the combination of the NVIDIA Jetson edge AI platform into its Omnicore controller to allow actual‑time inference.
Segura mentioned Foxconn is piloting the expertise for shopper electronics meeting, the place robots should deal with small elements and frequent product adjustments. One other early person is Workr, Segura mentioned, which develops automation programs for small and mid-sized producers.
“Precision is all the things in shopper electronics manufacturing and till now, this stage of accuracy and constancy simply wasn’t attainable in simulation and digital twins,” mentioned Dr. Zhe Shi, chief digital officer of Foxconn. “We’re extremely excited by the potential of ABB Robotics and NVIDIA’s collaboration, which permits parallel engineering for higher designs, sooner manufacturing ramp‑up and higher product evolution by means of superior AI inference and understanding.”
ABB mentioned additionally it is exploring using language and vision-language fashions inside RobotStudio to simplify robotic growth. The corporate mentioned these instruments may permit customers to instruct robots by means of prompts quite than conventional programming, with duties validated in simulation earlier than deployment.
“The objective is to maneuver past conventional programming. A proof of that’s that inside RobotStudio, we’re already utilizing language fashions so you may immediate robots as an alternative of manually programming them. Our goal is to display the advantages of AI not solely in what robots can do, but in addition in how individuals use them,” Segura mentioned. “Over time, the RobotStudio interface will leverage language fashions so customers can transfer from programming robots to easily instructing them. You simulate the robots, and as soon as coaching is full, you push the outcomes to the bodily robotic. With the brand new RobotStudio HyperReality product, we’re taking a major step towards making robots extra accessible and simpler to deploy.”
And, in fact, no robotics press convention is full with out a minimum of one reporter asking the unavoidable query: “When are you constructing a humanoid?”
“We have already got greater than 150 totally different shapes and dimension of robots. And it’s not simply because we like complexity. It’s as a result of industrial clients require optimization. If you wish to deploy at scale, all the things must be optimized. So you may anticipate from us, in fact, cell manipulation embodiments. Will that be within the form of a humanoid or a canine? Clients will inform us. It’s going to be a response to their request for optimum options.”
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