US 12,111,621 B2
Power tool including a machine learning block for controlling a seating of a fastener
Jonathan E. Abbott, Milwaukee, WI (US); and Justin A. Evankovich, Brookfield, WI (US)
Assigned to Milwaukee Electric Tool Corporation, Brookfield, WI (US)
Appl. No. 17/056,489
Filed by MILWAUKEE ELECTRIC TOOL CORPORATION, Brookfield, WI (US)
PCT Filed Jul. 23, 2020, PCT No. PCT/US2020/043231
§ 371(c)(1), (2) Date Nov. 18, 2020,
PCT Pub. No. WO2021/016437, PCT Pub. Date Jan. 28, 2021.
Claims priority of provisional application 62/877,489, filed on Jul. 23, 2019.
Prior Publication US 2022/0299946 A1, Sep. 22, 2022
Int. Cl. G05B 13/02 (2006.01); B25B 23/147 (2006.01); B25F 5/00 (2006.01)
CPC G05B 13/027 (2013.01) [B25B 23/147 (2013.01); B25F 5/00 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A power tool comprising:
a housing;
a motor supported by the housing;
a sensor supported by the housing and configured to generate sensor data indicative of an operational parameter of the power tool;
an electronic controller, the electronic controller including an electronic processor and a memory, the memory including a machine learning control program for execution by the electronic processor, the electronic controller configured to:
receive the sensor data,
process the sensor data, using the machine learning control program,
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, wherein the seating value indicates a level of seating of the fastener, wherein the level represents a percentage that the fastener is seated within a workpiece, and
control the motor based on the generated output.