ABB Robotics sets out blueprint for physical AI education at NVIDIA GTC Berlin
- Co-developed education program to focus on talent readiness for industrial-grade physical AI
- Pioneering program to combine theory with hands-on learning, offering certification on completion
- New supporting white paper finds 84% of companies have not redesigned jobs around AI capabilities, and identifies the capabilities and approach required to close the gap
- RobotStudio HyperReality launches to 60,000 RobotStudio users worldwide, closing the sim-to-real gap with 99% accuracy for industrial clients at any scale, across a breadth of industries and applications.
ABB Robotics has developed an education 
program powered by NVIDIA AI technologies, focused on physical AI, ensuring talent readiness for the future of AI in industry.
“Artificial intelligence is moving beyond digital environments and into robotics and the physical systems that make, inspect, move, assemble, and maintain industry,” said Marc Segura, President of ABB Robotics. “Physical AI is reshaping the skills needed in industrial environments. As we prepare for the use of these industrial-grade intelligent systems at scale, talent readiness is a key part of deployment readiness. Only with the right skills in place can the full potential of Autonomous Versatile Robotics (AVRTM) be achieved.”
“Learning in simulation helps democratize robotics by giving more people the opportunity to design and test intelligent robots,” said Amit Goel, head of robotics and edge computing ecosystem at NVIDIA. “Through hands-on learning with ABB RobotStudio and NVIDIA Omniverse, this program will help students and engineers build the skills to design and test robotic systems in simulation and apply that knowledge to real-world industrial challenges.”
In the published white paper supporting the launch of the program, research from ABB Robotics and NVIDIA highlighted that while 53% of companies are building AI fluency, 84% have not redesigned jobs around AI capabilities. The paper identifies the capabilities and learning approaches required and argues that academic institutions, employers, technology organizations, and industry bodies need to work in one connected system to provide the necessary educational framework for physical AI.
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ABB Robotics and NVIDIA will collaborate on an official learning program to build the skills needed for physical AI, to help translate capability needs into learning opportunities for the next generation of robotics and automation talent. It will include hands-on learning with ABB RobotStudio andNVIDIA Omniverse, and will provide a certificate in robotics, simulation and physical AI, on completion.
Developed with contributions from Amazon Web Services, AsiaInfo, Deloitte and SKAI Intelligence, the white paper brings perspectives from manufacturing, robotics, cloud and AI infrastructure, higher education, professional learning, and industry research. Its core message is that industrial physical AI will not scale through technology investment alone, but when people can translate potential into continuously improving production systems.
ABB Robotics and NVIDIA are further exploring how these capabilities can be developed through a physical AI education solution that connects practical learning simulation, AI development and robotics.
Following its launch earlier this year, ABB Robotics’ RobotStudio HyperReality is now available to 60,000 RobotStudio users worldwide, closing the sim-to-real gap with 99% accuracy for industrial clients at any scale, across a breadth of industries and applications. ABB Robotics collaborated with Enodo Robotics in the development of RobotStudio HyperReality, bringing together ABB’s industry-leading robotics and simulation technology with Enodo’s deep expertise in AI-driven robotics software and the OpenUSD ecosystem, supporting 3D data interoperability across design and simulation.
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