ABB Robotics Launches Physical AI Education Program
The program, built with NVIDIA AI technologies, targets the skills gap as companies move AI into industrial robotics.
Updated on Nov. 6, 2026 in Robotics
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ABB Robotics has launched a physical AI education program powered by NVIDIA AI technologies, alongside a white paper on talent readiness for industrial physical AI. The program offers hands-on learning with ABB RobotStudio and NVIDIA Omniverse and awards a certificate in robotics, simulation and physical AI on completion.
Why it matters
Research from ABB Robotics and NVIDIA found that 84% of companies have not redesigned jobs around AI capabilities, suggesting workforce preparation lags behind technology investment. The white paper argues that industrial physical AI will not scale through technology investment alone, making talent readiness a key part of deployment readiness.
ABB RobotStudio and NVIDIA Omniverse are the two platforms used for hands-on learning in the program, connecting robotics programming with simulation. The extraction does not provide specific hardware, processing or software performance specifications.
The players
ABB Robotics
ABB Robotics is the robotics division of the Swiss-Swedish industrial technology group ABB, a major supplier of industrial robots and automation systems.
NVIDIA
NVIDIA is a U.S. semiconductor and AI computing company whose Omniverse platform and AI technologies underpin the program.
The details
The education program connects practical learning in simulation, AI development and robotics within a single physical AI curriculum. Contributors to the accompanying white paper include Amazon Web Services, AsiaInfo, Deloitte and SKAI Intelligence, and ABB Robotics and NVIDIA plan to collaborate on an official learning program to build physical AI skills.
Timeline
November 6, 2026: ABB Robotics launches the physical AI education program and publishes the white paper.
The Tech Race
The program uses NVIDIA Omniverse, the simulation platform NVIDIA has positioned as core infrastructure for industrial digital twins, to train workers rather than only engineers. It extends that platform into workforce education as competitors in industrial automation also pursue AI-driven robotics.
The program offers a certificate in robotics, simulation and physical AI, giving workers a recognized credential in a field where 84% of companies have not yet redesigned jobs around AI. Individuals seeking to move into industrial automation roles can use hands-on training with RobotStudio and Omniverse to build practical skills.
The takeaway
Building AI into industrial machines requires people trained to deploy and manage them, not just better hardware and software. Workers and employers evaluating automation skills should look for hands-on, simulation-based training that connects robotics and AI.
Further reading
For broader context on machines that perceive and act in the physical world, see the Robotics section.
Source note: This article includes information reported by Automation World.
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