Invention Grant
- Patent Title: Machine learning device and machine learning method for learning optimal object grasp route
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Application No.: US15708130Application Date: 2017-09-19
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Publication No.: US10692018B2Publication Date: 2020-06-23
- Inventor: Masafumi Ooba
- Applicant: FANUC CORPORATION
- Applicant Address: JP Yamanashi
- Assignee: FANUC CORPORATION
- Current Assignee: FANUC CORPORATION
- Current Assignee Address: JP Yamanashi
- Agency: Hauptman Ham, LLP
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@459b230c
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N20/00 ; G05B19/418 ; B25J9/16 ; B25J13/08 ; G06N3/00 ; G06N3/08

Abstract:
A machine learning device according to the present invention learns an operation condition of a robot that stores a plurality of objects disposed on a carrier device in a container using a hand for grasping the objects. The machine learning device includes a state observation unit for observing the positions and postures of the objects and a state variable including at least one of cycle time to store the objects in the container and torque and vibration occurring when the robot grasps the objects during operation of the robot; a determination data obtaining unit for obtaining determination data for determining a margin of each of the cycle time, the torque, and the vibration against an allowance value; and a learning unit for learning the operation condition of the robot in accordance with a training data set constituted of a combination of the state variable and the determination data.
Public/Granted literature
- US20180089589A1 MACHINE LEARNING DEVICE AND MACHINE LEARNING METHOD FOR LEARNING OPTIMAL OBJECT GRASP ROUTE Public/Granted day:2018-03-29
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