Industrial robotics giant ABB is partnering with NVIDIA to inject some serious AI-powered simulation into its factory robots. The companies announced the integration of NVIDIA’s Omniverse libraries directly into ABB’s RobotStudio software, a platform already used by over 60,000 engineers. The new offering, dubbed RobotStudio HyperReality, aims to finally solve the industry’s nagging “sim-to-real” problem with simulations that are up to 99% accurate.
For decades, programming industrial robots has been a painstaking process of trial and (very expensive) error. A simulation might look perfect, but the chaos of real-world physics, lighting, and material properties often had other plans. By combining ABB’s virtual robot controllers with NVIDIA’s physically based rendering and AI simulation, developers can now design, test, and validate entire robotic production lines in a hyper-realistic digital twin before a single physical robot is deployed. The collaboration is already being piloted by Hon Hai Technology Group (Foxconn) for complex consumer electronics assembly and by robotics startup Workr to bring automation to smaller manufacturers.
Why is this important?
This partnership signifies a major shift from programming robots to training them. Instead of manually coding every movement, manufacturers can generate vast amounts of synthetic data in simulation to train AI models that can handle variation and complexity. ABB claims this approach can slash deployment costs by up to 40% and accelerate time-to-market by 50%. For industries from automotive to logistics, this means faster, more flexible, and more intelligent automation is no longer just a simulation—it’s about to hit the factory floor.
