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method for robot self-localization based on smart phone platform

机译:智能手机平台的机器人自我定位方法

摘要

The present invention provides a general-purpose robot control using a smartphone robot who can control the existing specific embedded devices and location as to provide a smart phone-based robots position location method that allows the self-awareness, which is located in a local area based on the smartphone of at least three different directions, the robot arm having attached to (A) the mobile robot in an amount with the two robot arms and the smartphone and the rotating direction of the mobile robot are equal to each other so that each step is made in terms of position, (B) a local area consisting of a short-range transmitter and smart phone, respectively attached to the robot arm using the RSSI value of the local area using the path loss between the receiver and the propagation takes place in the step for calculating the distance of the robot arms and attached to the smart phone and the mobile robot, (C) attached to the smart phone and the mobile robot is calculated By providing the distance information of the robot arms through the local area network inside the smart phone platform, smartphone platform comprises the steps of collecting the distance information in real time, (D) identifying the smart phone platform is previously stored robot position inside is to the real-time processing the distance information gathered by the program, including the step of calculating the current robot position. ;
机译:本发明提供了一种使用智能手机机器人的通用机器人控制,该智能手机机器人可以控制现有的特定嵌入式设备和位置,从而提供一种基于智能手机的机器人定位方法,该方法允许自我感知,该方法位于本地区域。基于至少三个不同方向的智能手机,已连接到(A)移动机器人的机器人手臂的数量与两个机器人手臂和智能手机的数量以及移动机器人的旋转方向彼此相等,从而使在位置方面进行步骤(B),使用短距离发射器和智能手机组成的局部区域,使用该局部区域的RSSI值分别使用接收器和传播路径之间的路径损耗,将该局部区域附加到机械臂在计算机器人手臂并连接到智能手机和移动机器人的距离的步骤中的位置,通过提供以下公式计算连接到智能手机和移动机器人的(C)机器人通过智能手机平台内部的局域网进行手臂的距离信息,智能手机平台包括实时收集距离信息的步骤,(D)识别智能手机平台之前存储的机器人位置是真实的实时处理程序收集的距离信息,包括计算当前机器人位置的步骤。 ;

著录项

  • 公开/公告号KR101339899B1

    专利类型

  • 公开/公告日2013-12-10

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20110120423

  • 申请日2011-11-17

  • 分类号G01S5/02;

  • 国家 KR

  • 入库时间 2022-08-21 15:44:07

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