FANUC is collaborating with NVIDIA to advance the implementation of Physical AI in industrial robots using advanced simulation technologies that accurately replicate real-world physics. By integrating NVIDIA’s latest technologies with FANUC’s highly reliable robots and precise motion control, cutting-edge solutions that enable automation of previously difficult tasks can more easily be deployed.
FANUC is collaborating with NVIDIA to advance the implementation of Physical AI in industrial robots.
As the next step in utilizing physical AI at the industrial level, FANUC has achieved the following milestones:
Adopting NVIDIA's latest hardware, NVIDIA Jetson Thor™, FANUC has developed a new system that executes advanced AI inference processing in real-time. Seamlessly connected with FANUC robot controllers through ultra-high-speed communication, it realizes smooth, latency-free motion, even for tasks requiring complex judgments.
Leveraging NVIDIA Isaac GR00T™, a foundation model for robot learning, alongside FANUC's motion control technologies, FANUC is testing imitation learning. While AI directly learns the movements and visual data of skilled human workers, robots acquire the ability to perform complex and delicate tasks that have been difficult to describe using conventional programming.
FANUC has established a real-time connection between its robot simulator ROBOGUIDE and NVIDIA Isaac Sim™. This fully synchronizes FANUC's precise robot models with a high-fidelity virtual environment replicating real-world physics. It enables advanced pre-verification under highly realistic conditions, significantly streamlining the Sim-to-Real (simulation to reality) deployment process.
With the realization of these technologies, the application range of industrial robots will expand significantly. The automation of highly complex tasks—such as processes that previously required intricate conditional branching and made programming itself unfeasible—is finally becoming possible.
Countless simulations are conducted in a high-fidelity virtual space where ROBOGUIDE and Isaac Sim operate in tandem. By utilizing NVIDIA Isaac GR00T to train the robot motion and object behavior, the robots autonomously acquire the ability to handle previously "unseen situations."
The powerful AI, forged through rigorous training in the virtual space, is then implemented into real-world robot systems using NVIDIA's latest Jetson Thor hardware.
The instantaneous commands issued by the AI are transmitted via 1ms ultra-high-speed communication. Leveraging FANUC’s precise motion control technologies developed over many years, a physical AI system is completed that delivers smooth, reliable, and practically latency-free motion.
