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:
Dec. 16, 2025

Filed:

Mar. 07, 2023
Applicant:

Strong Force Vcn Portfolio 2019, Llc, Fort Lauderdale, FL (US);

Inventors:

Charles Howard Cella, Pembroke, MA (US);

Brad Kell, Seattle, WA (US);

Teymour S. El-Tahry, Detroit, MI (US);

Andrew Cardno, San Diego, CA (US);

Leon Fortin, Jr., Fort Lauderdale, FL (US);

Assignee:

STRONG FORCE VCN PORTFOLIO 2019, LLC, Fort Lauderdale, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B25J 9/16 (2006.01); B29C 64/379 (2017.01); B29C 64/386 (2017.01); B29C 64/393 (2017.01); B33Y 10/00 (2015.01); B33Y 30/00 (2015.01); B33Y 50/02 (2015.01); G05B 13/02 (2006.01); G05B 23/02 (2006.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06F 9/50 (2006.01); G06Q 10/0631 (2023.01); G06Q 10/087 (2023.01); G06Q 10/20 (2023.01);
U.S. Cl.
CPC ...
G05B 13/0265 (2013.01); B25J 9/161 (2013.01); B25J 9/163 (2013.01); B25J 9/1674 (2013.01); B25J 9/1679 (2013.01); G05B 23/0281 (2013.01); G05D 1/0291 (2013.01); G06F 9/5055 (2013.01); G06Q 10/06316 (2013.01); G06Q 10/087 (2013.01); G06Q 2220/00 (2013.01);
Abstract

A method of configuring robot fleets with additive manufacturing capabilities includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks to be performed in furtherance of the job. The method includes determining a provisioning configuration for each additive manufacturing system based on the task to which the additive manufacturing system is assigned, the set of 3D printing requirements, the printing instructions, and the status of the additive manufacturing system. The method includes provisioning the additive manufacturing system based on the provisioning configuration and a set of additive manufacturing system provisioning rules that are accessible to an intelligence layer to ensure that provisioned systems comply with the provisioning rules. The method includes deploying the robotic fleet based on the robotic fleet configuration data structure to perform the job.


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