FANUC is working with Google to advance physical AI robots for manufacturing, pointing to a new stage of factory automation where machines can interpret their surroundings and respond with more flexible, intelligent movement.
FANUC America highlighted the collaboration on May 19, describing it as part of a broader push to bring artificial intelligence into industrial robot systems. The effort uses Google technologies to support robots that can perceive conditions through sensors, make decisions, and carry out physical tasks inside real production environments.
That matters because factory work is rarely as neat as a demo cell. Parts arrive in different orientations. Bins shift. Operators change schedules. Production lines face product variation, labor gaps, and pressure to run with fewer interruptions. Traditional automation performs best when every variable is tightly controlled. Physical AI aims to help robots handle more of that real-world messiness.
FANUC brings a large installed base and deep experience in industrial automation. Its robot lineup ranges from compact 3-kilogram payload machines to heavy-duty robots with 2.3-ton payload capacity, including collaborative CRX models. Google contributes robotics AI expertise through its work with ROS and Intrinsic, giving developers more room to build adaptable applications on open platforms.
The technical foundation is important. FANUC robots support ROS through open-source drivers, Python for AI development, high-speed communication interfaces for external robot control, and PLC-friendly interfaces for factory integration. In plain terms, the collaboration is not only about smarter software. It is about making AI tools easier to connect with industrial hardware that already runs on shop floors.
Customer interest appears to be building. FANUC said it has shipped more than 1,000 robots for Physical AI-related applications since introducing its system at the International Robot Exhibition in Tokyo last December.
For manufacturers, the potential payoff is practical. Physical AI could make automation more useful in picking, inspection, assembly, machine tending, packaging, and mixed-product production. As factories push for higher flexibility and faster changeovers, robots that can adapt to variable conditions may become a major productivity lever rather than a future concept stuck in the lab.
Article and Image Source: FANUC America official newsroom — May 19, 2026
