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. 17, 2019

Filed:

Dec. 29, 2017
Applicant:

Fanuc Corporation, Yamanashi, JP;

Inventors:

Zheng Tong, Yamanashi, JP;

Takuma Nishimura, Yamanashi, JP;

Yuuzou Inaguchi, Yamanashi, JP;

Assignee:

FANUC CORPORATION, Yamanashi, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 19/418 (2006.01); G05B 13/02 (2006.01); G05B 19/404 (2006.01);
U.S. Cl.
CPC ...
G05B 19/41835 (2013.01); G05B 13/027 (2013.01); G05B 19/404 (2013.01); G05B 19/41855 (2013.01); G05B 19/41875 (2013.01); G05B 2219/33038 (2013.01);
Abstract

To perform reinforcement learning that enables selecting action information for shortening a cycle time while also avoiding the occurrence of overheating. An action information learning device () includes: a state information acquisition means () for acquiring state information including an operation pattern of a spindle and a combination of parameters related to machining of a machine tool (); an action information output means () for outputting action information including adjustment information for the operation pattern and the combination of parameters included in the state information; a reward calculation means () for acquiring judgment information which is information for temperature of the machine tool () and a machining time related to the machining of the machine tool (), and calculating a value of a reward for reinforcement learning based on the judgment information thus acquired; and a value function update means () for updating a value function by performing the reinforcement learning based on the value of the reward, the state information and the action information.


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