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Mar 9, 2026
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Artificial Intelligence
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NewDecoded
4 min read

Image by Nvidia
ABB Robotics and NVIDIA announced a landmark collaboration to bring industrial grade physical AI to the factory floor. By integrating NVIDIA Omniverse libraries into the RobotStudio software, ABB will launch a new platform called RobotStudio HyperReality in the second half of 2026. This initiative aims to reduce deployment costs by 40 percent and speed up time to market for complex products by as much as 50 percent. [Link: https://www.abb.com/global/en/news/134030]
The project focuses on closing the long standing sim-to-real gap that separates virtual training from real world robot performance. RobotStudio HyperReality provides a 99 percent correlation between simulation and hardware behavior by running the same firmware on virtual and physical controllers. This ensures that robots designed and tested in a digital environment function with extreme precision when deployed in the physical world. When paired with ABB's Absolute Accuracy system, the platform reduces robotic positioning errors from roughly 15 millimeters to just 0.5 millimeters. This high fidelity simulation allows manufacturers to design and validate entire production lines virtually before installing any physical equipment. Such precision is vital for industries requiring tight tolerances, such as automotive and high tech electronics.
Early partners like Foxconn are currently using the platform to improve consumer electronics assembly. Robots are trained entirely through synthetic data in NVIDIA Omniverse, which allows them to manage complex metal parts and varying shadows that often confuse standard vision systems. This virtual training eliminates the need for physical prototypes and significantly reduces production ramp times. The partnership also aims to democratize automation for small and medium sized businesses through partners like Workr. California based Workr uses ABB industrial robots and NVIDIA libraries to help smaller shops deploy automation with minimal programming effort. These AI powered systems can learn to handle new parts in minutes, addressing labor shortages and technical barriers for smaller manufacturers. [Link: https://www.nvidia.com/en-us/industries/robotics/]
Looking forward, ABB is exploring the integration of the NVIDIA Jetson edge AI platform into its Omnicore robot controllers. This development would enable real time inference and more sophisticated decision making directly on the factory floor. By combining high fidelity simulation with edge computing, the companies are establishing a new standard for intelligent, autonomous manufacturing.
The partnership represents a fundamental shift from traditional digital twins to embodied AI, where robots learn through high-fidelity physics rather than just visual data. By solving the sim-to-real gap, manufacturers can move from theoretical planning to actual production without the costly trial-and-error traditionally required on the factory floor. This move essentially standardizes virtual commissioning, making advanced automation accessible to smaller companies that previously lacked the resources for complex robotic integration.
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