AI-Driven CNC
Autonomous Analysis and Digital Twin Verification,
for Robust OperationEvolving from human-centered operation to an AI-centered autonomous operating system. CNC, digital twins, and generative AI work together to support operators in their thinking and decision-making.
By combining FANUC's high-speed, high-precision digital twin technology with generative AI, smart manufacturing becomes a reality.
- CONCEPT
Trusted Automation powered by Physical AI
What is Physical AI CNC?
Physical AI CNC is a control system that integrates CNC, digital twins, and generative AI.
Building on FANUC's AI technologies* that combine control based on physical phenomena with machine learning, Physical AI CNC connects CNC and digital twins with generative AI. By enabling generative AI to utilize machining-related information and expertise while supporting operators in their thinking and decision-making, it enables further automation and optimization on the manufacturing floor.
Secure and Seamless Connection of CNC, Digital Twins, and AI
FANUC provides an MCP server for securely and seamlessly connecting CNC and digital twins with generative AI.
Through MCP**, a common protocol, generative AI can securely and seamlessly access CNCs, digital twins, and various tools to utilize the information and functions it needs.
Verify AI Reasoning and Decisions with a Digital Twin
With Physical AI CNC, analysis results and improvement recommendations generated by generative AI can be verified in advance using FANUC Smart Digital Twin.
Generative AI can perform simulations and verification in the digital twin environment, and the results can be applied to the actual machine after being reviewed and approved by the operator.
Integration with a high-speed, high-precision digital twin enables safe and reliable operation of Physical AI.
* Examples include AI Thermal Displacement Compensation, which compensates for positioning errors caused by temperature changes, and AI Servo Monitor, which detects signs of potential failures from servo motor drive waveforms.
** Abbreviation for Model Context Protocol, a standardized protocol proposed by Anthropic for connecting generative AI models with external services.
What Physical AI CNC Can Achieve
Intent-Driven Manufacturing
Generative AI modifies text designs based on ambiguous instructions, then creates programs and performs simulations.
Simply communicate what you want to create, and the system streamlines the preparation process leading up to machining.
Eliminating Trial and Error
Generative AI recommends optimal machining parameters and functions based on the machining task.
It streamlines parameter adjustments that previously required trial and error and supports the optimization of machining conditions.
CNC Screen Operation Using Natural Language
Generative AI displays the required CNC screens and sets the necessary data based on natural language instructions.
Simply by stating what you want to do, you can easily perform the operations and settings you need.
Autonomous Recovery from Failures
Generative AI analyzes CNC alarms and supports the process from identifying possible causes to recommending countermeasures.
By utilizing accumulated expertise to investigate causes, it helps reduce recovery time when problems occur.
Production analysis and improvement by natural language
Generative AI leverages factory data accumulated in FIELD system Basic Package (FsBP) to perform analysis and offer improvement proposals.
By simply making inquiries in natural language, operators can access and analyze relevant information from vast amounts of data and quickly obtain actionable insights.