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Human collaborative robot system having improved external force detection accuracy by machine learning

机译:通过机器学习提高外力检测精度的人类协作机器人系统

摘要

A human collaborative robot system having a function of detecting a force includes a human collaborative robot and a learning unit into which sensing data, internal data, and calculation data are input. The learning unit outputs a first force component applied to the human collaborative robot from outside, a second force component occurring in an operation of the human collaborative robot, and a third force component categorized as noise; and performs learning using supervised data in which inputs and correct labels obtained in advance are collected in pairs, wherein the correct labels of the supervised data are obtained by exerting a force on the human collaborative robot from outside, operating the human collaborative robot over a plurality of paths, and applying noise to the human collaborative robot, and the operation of the human collaborative robot is controlled based on the first force component output from the learning unit.
机译:具有检测力的功能的人协作机器人系统包括人协作机器人和学习单元,学习数据,内部数据和计算数据被输入到学习单元中。学习单元从外部输出施加到人类协作机器人的第一力分量,在人类协作机器人的操作中出现的第二力分量,以及被分类为噪声的第三力分量。并且使用成对收集预先获得的输入和正确标签的监督数据进行学习,其中,监督数据的正确标签是通过从外部对人类协作机器人施加力,在多个人类协作机器人上进行操作而获得的。路径的变化,并向人工协作机器人施加噪声,并且基于从学习单元输出的第一力分量来控制人工协作机器人的操作。

著录项

  • 公开/公告号US10324425B2

    专利类型

  • 公开/公告日2019-06-18

    原文格式PDF

  • 申请/专利权人 FANUC CORPORATION;

    申请/专利号US201715782371

  • 发明设计人 SHOUGO TAKAHASHI;

    申请日2017-10-12

  • 分类号G05B13/02;G05B9/02;G05B13/04;B25J9/16;

  • 国家 US

  • 入库时间 2022-08-21 12:16:23

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