What Physical AI CNC Can Achieve
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Solve machining-related challenges based on expert know-how
Eliminating Trial and Error
Generative AI recommends optimal machining parameters and functions based on the machining task.
While utilizing machining expertise, it repeatedly adjusts and verifies conditions through simulation to determine the optimal machining conditions. After approval by the operator, the adjustment results are applied to the actual machine.
AI Autonomously Utilizes the Necessary Tools
Simply communicate the machining task, and generative AI optimizes the conditions while autonomously utilizing the necessary tools, reducing the burden of trial and error.
Through the MCP server, generative AI securely and seamlessly utilizes tools for searching machining expertise, adjusting machining parameters, performing simulations, and more.
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.
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.