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ARTIFICIAL INTELLIGENCE MOVING ROBOT WHICH LEARNS OBSTACLES, AND CONTROL METHOD THEREFOR

机译:学习障碍物的人工智能移动机器人及其控制方法

摘要

An artificial intelligence (AI) mobile robot and a method of controlling the same for learning an obstacle are configured to capture an image while traveling through an image acquirer, to store a plurality of captured image data, to determine an obstacle from image data, to set a response motion corresponding to the obstacle, and to operate the set response motion depending on the obstacle, and thus, the obstacle is recognized through the captured image data, the obstacle is easily determined by repeatedly learning an image, and the obstacle is determined before the obstacle is detected or from a time point of detecting the obstacle to perform an operation of a response motion, and even if the same detection signal is input when a plurality of different obstacles is detected, the obstacle is determined through the image and different operations are performed depending on the obstacle to respond to various obstacles, and accordingly, the obstacle is effectively avoided and an operation is performed depending on a type of the obstacle.
机译:人工智能(AI)移动机器人及其控制方法以学习障碍物,其配置为在穿过图像采集器时捕获图像,存储多个捕获的图像数据,从图像数据中确定障碍物,设置与障碍物相对应的响应运动,并根据障碍物操作设置的响应运动,因此,通过捕获的图像数据识别障碍物,通过重复学习图像可轻松确定障碍物,并确定障碍物在检测到障碍物之前或从检测到障碍物的时间点开始执行响应运动的操作,并且即使在检测到多个不同的障碍物时输入相同的检测信号,也会通过图像确定障碍物,并且根据障碍物来执行操作以响应各种障碍物,因此,有效地避免了障碍物并且操作根据障碍物的类型执行。

著录项

  • 公开/公告号EP3702111A1

    专利类型

  • 公开/公告日2020-09-02

    原文格式PDF

  • 申请/专利权人 LG ELECTRONICS INC.;

    申请/专利号EP20180870615

  • 发明设计人 KIM JUNGHWAN;LEE YONGJAE;LEE MINHO;

    申请日2018-10-25

  • 分类号B25J11;B25J9/16;B25J19/02;B25J19/06;A47L9/28;

  • 国家 EP

  • 入库时间 2022-08-21 11:39:20

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