Invention Grant
- Patent Title: Controller and machine learning device
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Application No.: US15995702Application Date: 2018-06-01
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Publication No.: US10576628B2Publication Date: 2020-03-03
- Inventor: Tetsuji Ueda
- Applicant: FANUC CORPORATION
- Applicant Address: JP Yamanashi
- Assignee: Fanuc Corporation
- Current Assignee: Fanuc Corporation
- Current Assignee Address: JP Yamanashi
- Agency: RatnerPrestia
- Priority: JP2017-112209 20170607
- Main IPC: G05B19/04
- IPC: G05B19/04 ; G05B19/18 ; B25J9/16

Abstract:
A machine learning device of a controller observes data on a movement speed of each motor of a robot and an adjustment amount of the movement speed, a target speed of a tip end of the robot, and a movement path proximate to the tip end of the robot, as state variables expressing a current state of an environment, and acquires determination data indicating an appropriateness determination result of the movement speed of the tip end of the robot. Then, the machine learning device learns the target speed data, the movement speed data, and the movement path data in association with the adjustment amount of the movement speed of each of the motors of the robot by using the observed state variables and the acquired determination data.
Public/Granted literature
- US20180354126A1 CONTROLLER AND MACHINE LEARNING DEVICE Public/Granted day:2018-12-13
Information query
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