The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 13, 2026

Filed:

Feb. 02, 2024
Applicant:

Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US);

Inventors:

Francisco P Maturana, Lyndhurst, OH (US);

Meiling He, Milwaukee, WI (US);

Patrick Dey, Ladera Ranch, CA (US);

Christopher Nardecchia, Westlake Village, CA (US);

Assignee:

ROCKWELL AUTOMATION TECHNOLOGIES, INC., Mayfield Heights, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/137 (2020.01); G05B 19/408 (2006.01); G06F 3/0482 (2013.01); G06F 40/205 (2020.01);
U.S. Cl.
CPC ...
G06F 40/137 (2020.01); G05B 19/408 (2013.01); G06F 3/0482 (2013.01); G06F 40/205 (2020.01);
Abstract

A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can leverage generative artificial intelligence (AI) and associated trained custom models to transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system leverages generative artificial intelligence (AI) and associated trained models to extract and organize document content, and to map the document content to appropriate target data structures that can be consumed by control systems and devices.


Find Patent Forward Citations

Maturana, Francisco. (2026). Generative ai industrial digital technology transfer (U.S. Patent No. 12524600). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12524600

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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