US 11,809,146 B2
Machine learning device, prediction device, and control device for preventing collision of a moveable part
Hirochika Satou, Yamanashi (JP)
Assigned to FANUC CORPORATION, Yamanashi (JP)
Filed by FANUC CORPORATION, Yamanashi (JP)
Filed on Oct. 29, 2020, as Appl. No. 17/084,065.
Claims priority of application No. 2019-201662 (JP), filed on Nov. 6, 2019.
Prior Publication US 2021/0132553 A1, May 6, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G05B 13/02 (2006.01); G06N 20/00 (2019.01); G05D 3/10 (2006.01)
CPC G05B 13/027 (2013.01) [G05D 3/10 (2013.01); G06N 20/00 (2019.01)] 8 Claims
OG exemplary drawing
 
1. A machine learning device that generates a learned model that is configured to be used by a prediction device comprising:
a state observation unit that acquires, as input data, manual feed state information including a manual feed pulse waveform at a time of a manual feed operation performed in a machine tool capable of manual feed;
a label acquisition unit that acquires label data indicating a distance by which a movable part of the machine tool moved within a predetermined time immediately after the manual feed pulse waveform of the manual feed state information included in the input data; and
a learning unit that executes supervised learning by applying a neural network and using the input data acquired by the state observation unit and the label data acquired by the label acquisition unit, and generates the learned model which is then used by the prediction device to predict the distance by which the movable part of the machine tool moved based on the manual feed state information.