ABB Robotics and NVIDIA launch physical AI education program

Bridging the AI skills gap

ABB Robotics and NVIDIA have announced a new education program designed to teach physical AI and related skills for industrial use. This initiative comes at a time when many businesses are struggling to integrate new technologies into their existing workflows. The companies want to ensure that the workforce is prepared to handle the complexities of AI in physical spaces.

The partnership is supported by a white paper that highlights a significant disconnect in the current corporate landscape. According to the report, 53% of companies are currently building AI fluency, yet 84% of those same companies have not yet redesigned their jobs to accommodate AI capabilities. This suggests that while the technology is being adopted, the human side of the operation is lagging behind.

To address this, the two companies are working to create a comprehensive education framework. They believe that academic institutions, employers, and technology organizations must collaborate to build a standard for physical AI. The goal is to move beyond simple software AI and focus on how machines interact with the real world in manufacturing and other industrial sectors.

Hands-on tools and certification

The new learning program is designed to be practical rather than purely theoretical. It will provide students with hands-on experience using two major pieces of software: ABB RobotStudio and NVIDIA Omniverse. These tools allow users to simulate complex robotic movements and industrial environments before they are deployed in real-world settings.

Participants who complete the program will receive a formal certificate in robotics, simulation, and physical AI. This certification is intended to validate the skills of workers who can navigate the intersection of software development and physical hardware. By providing a recognized credential, the program helps individuals prove their competency to potential employers in the manufacturing sector.

The program also builds on existing technology like ABB Robotics’ RobotStudio HyperReality. This tool was developed with Enodo Robotics to support 3D data interoperability across different design and simulation platforms. By using the OpenUSD ecosystem, the program ensures that the data used in training can be easily shared and used across various different software environments.

A collaborative research effort

The launch of this program is not happening in a vacuum; it is backed by a wide range of industry perspectives. The supporting white paper includes contributions from several major organizations, including Amazon Web Services, AsiaInfo, Deloitte, and SKAI Intelligence. These partners provided insights from various fields, including cloud infrastructure, higher education, and professional learning.

The collective research emphasizes that industrial physical AI requires more than just a purchase of new equipment. It requires a dual investment in both the technology itself and the people who will operate it in production environments. The companies argue that without a workforce trained to apply these tools, the potential of physical AI cannot be fully realized in a factory or warehouse setting.

By involving such a diverse group of contributors, the program aims to reflect the needs of the entire supply chain. It considers the perspectives of manufacturing leaders, robotics engineers, and academic researchers. This broad base of input helps ensure that the curriculum remains relevant to the actual challenges faced by modern industrial operations.

What comes next for physical AI

The companies are currently exploring a specific education solution that combines simulation, AI development, and robotics into a single package. This integrated approach is intended to show how these three fields work together to create functional industrial systems. The program is set to be showcased at the upcoming NVIDIA GTC in Berlin.

Looking forward, the initiative seeks to establish a standard for how physical AI is taught globally. As more companies look to automate their physical processes, the demand for a standardized certification is likely to grow. This could lead to a shift in how vocational and technical schools approach robotics training in the coming years.

The availability of tools like RobotStudio HyperReality to 60,000 users worldwide provides a large foundation for this expansion. As more people gain access to these simulation environments, the barrier to entry for learning physical AI may decrease. The focus remains on creating a workforce that can bridge the gap between digital code and physical motion.