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:
Nov. 26, 2024

Filed:

Jan. 10, 2022
Applicant:

Milwaukee Electric Tool Corporation, Brookfield, WI (US);

Inventors:

Jonathan E. Abbott, Milwaukee, WI (US);

John S. Dey, IV, Milwaukee, WI (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 19/4155 (2006.01); B23D 51/16 (2006.01); B25B 21/02 (2006.01); B25F 5/00 (2006.01); G05B 13/02 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G05B 19/4155 (2013.01); B25F 5/00 (2013.01); G05B 13/0265 (2013.01); G05B 13/027 (2013.01); G06N 20/00 (2019.01); B23D 51/16 (2013.01); B25B 21/02 (2013.01); G05B 2219/31103 (2013.01); G05B 2219/33034 (2013.01);
Abstract

A power tool includes a housing and a sensor, a machine learning controller, a motor, and an electronic controller supported by the housing. The sensor is configured to generate sensor data indicative of an operational parameter of the power tool. The machine learning controller includes a first processor and a first memory and is coupled to the sensor. The machine learning controller further includes a machine learning control program configured to receive the sensor data, process the sensor data using the machine learning control program, and generate an output based on the sensor data using the machine learning control program. The electronic controller includes a second processor and a second memory and is coupled to the motor and to the machine learning controller. The electronic controller is configured to receive the output from the machine learning controller and control the motor based on the output.


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