Invention Grant
- Patent Title: Numerical controller with learned pressure estimation
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Application No.: US15960123Application Date: 2018-04-23
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Publication No.: US10802476B2Publication Date: 2020-10-13
- Inventor: Noboru Hirose , Keisuke Tsujikawa
- Applicant: FANUC CORPORATION
- Applicant Address: JP Yamanashi
- Assignee: Fanuc Corporation
- Current Assignee: Fanuc Corporation
- Current Assignee Address: JP Yamanashi
- Agency: RatnerPrestia
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@ed1d4f
- Main IPC: G05B19/404
- IPC: G05B19/404 ; G05B19/418

Abstract:
Provided is a numerical controller capable of easily controlling a pressure without a pressure sensor. The numerical controller estimates a pressure based on at least one of a command value and a feedback value. A machine learning device for learning the pressure corresponding to the at least one of the command value and the feedback value is included. The machine learning device includes a state observation unit for observing the at least one of the command value and the feedback value as a state variable, a label data acquisition unit for acquiring label data indicating the pressure, and a learning unit for associating and learning the state variable with the label data.
Public/Granted literature
- US20180314242A1 NUMERICAL CONTROLLER Public/Granted day:2018-11-01
Information query
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