Generative AI for Industrial Automation Control Design Environment

ChangeBridge: Patent Grants - AI & Computing (G06N)

Published April 7th, 2026

Detected April 7th, 2026

Summary

The USPTO granted Patent US12596915B2 to Rockwell Automation Technologies, Inc. covering a generative AI system for industrial automation integrated development environments. The patent enables users to generate industrial control code, HMI applications, and device configurations using plain language commands through AI models and neural networks. The patent contains 20 claims and names 15 inventors.

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What changed

USPTO granted patent US12596915B2 to Rockwell Automation Technologies, Inc. for an industrial automation IDE utilizing generative AI models and neural networks. The system translates plain language functional specifications into industrial control code, HMI applications, and device configuration settings. The patent covers G06N 3/0475 and G05B 19/409 CPC classifications with 20 claims.

Affected parties including manufacturers, industrial automation firms, and technology companies developing AI-driven industrial control solutions should note this patent grant establishes intellectual property rights in generative AI applications for industrial automation. The patent may influence product development strategies and require freedom-to-operate analysis for similar AI-based industrial IDE solutions.

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Source document (simplified)

← USPTO Patent Grants

Generative AI for industrial automation control design environment

Grant US12596915B2 Kind: B2 Apr 07, 2026

Assignee

ROCKWELL AUTOMATION TECHNOLOGIES, INC.

Inventors

Anthony Carrara, Rahul P. Patel, Michael J. Ohlsen, Ashish Anand, Matthew T. Masarik, Adam J. Gregory, Kurt E. Mathson, Justin Wengatz, Daniel T. Richter, Omar A. Bahader, Lorenzo Majewski, Elie Nader, Fabiano Fernandes, Srdjan Josipovic

Abstract

An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.