ABB Robotics has revealed that it is entering a strategic partnership with NVIDIA to accelerate the uptake of industrial AI, powered robotics by incorporating NVIDIA’s Omniverse simulation components into ABB’s RobotStudio platform. This collaboration is set to benefit manufacturers by allowing them to design, test, and deploy AI, capable robotic systems faster and more efficiently; in essence, they want to solve the old riddle of virtual simulations versus real, world robotic performances. The integration of ABB’s top, notch robot programming and simulation features with the GPU, accelerated and physically accurate NVIDIA Omniverse simulation environment will enable development teams to produce extremely photo, realistic digital twins of the real, world factory setups. As a result, engineers will have a tool to create synthetic data, prepare robots virtually, and but capabilities into the real system with a greatly enhanced accuracy. The integrated platform, named RobotStudio HyperReality, will allow robots to be programmed and optimized through simulation prior to their actual use on factory floors, hence significantly lowering the reliance on physical prototypes and at the same time reducing operational risks.
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In the press release, it was stated that using this method, companies would be able to decrease production costs by up to 40%, shrink setup and commissioning times by as much as 80%, and bring complex products to market nearly 50% faster. Furthermore, their partnership is also aimed at finding a solution to the well, known sim, to, real gap which relates to a situation where robots trained in virtual environments end up behaving differently once they are in the real world due to factors such as lighting, materials, and physical conditions that change. “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. The solution will support a broad range of industrial use cases, including manufacturing, logistics, and electronics assembly, with early testing already underway by global manufacturers such as Foxconn. “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. By enabling robots to learn from synthetic data and continuously refine their performance using real-world feedback, the joint solution aims to make advanced automation accessible to organizations of all sizes. Once fully released in the second half of 2026, RobotStudio HyperReality will be available to ABB’s global community of more than 60,000 RobotStudio users, signaling a significant step forward in the adoption of scalable physical AI and autonomous robotics across industrial sectors.
