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This is a record of a document published elsewhere, first published by the AU patent office, as AU-2020316444-B2, on 12 February 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000002983

Power tool including a machine learning block for controlling a seating of a fastener

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Classification
Tools & Tooling › Powered Hand Tools
Inventors
ABBOTT JONATHAN E, EVANKOVICH JUSTIN A
Assignee
MILWAUKEE ELECTRIC TOOL CORP
Original source
AU-2020316444-B2, the AU patent office, 12 February 2026
Document SHA-256
d7377dd24c703f67a1b975f4a330043c2acb503e757798bef4a8cf7d2ab344d9

Abstract

A power tool is provided including a housing a motor supported by the housing, a sensor supported by the housing, and an electronic controller. The sensor is configured to generate sensor data indicative of an operational parameter of the power tool. The electronic controller includes an electronic processor, and a memory. The memory includes a machine learning control program for execution by the electronic processor. The electronic processor is configured to receive the sensor data, and process the sensor data, using the machine learning control program. The electronic processor is further configured to generate, using the machine learning control program, an output based on the sensor data, the output indicating a seating value associated with a fastening operation of the power tool. The electronic processor is further configured to control the motor based on the generated output.

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Citation

OpenTechnical Publication OT-2026-000002983, “Power tool including a machine learning block for controlling a seating of a fastener,” published September 15, 2026 at 19:16:33 UTC, https://opentechnical.org/p/OT-2026-000002983.

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This record reproduces a document published elsewhere and is provided for reference and study. Rights in the original remain with its owner. See the publication policy.