Robotic system using fuzzy logic for person following

D. Sanjay, P. Kumar, T. Savithri
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引用次数: 2

Abstract

In this paper a robotic system is proposed which follows a person avoiding obstacles in an indoor environment. The Robot platform used is DaNI Robot which has 180 degree steering ultrasonic sensor at the frontend and a Single-board Reconfigurable Input-Output (SBRIO-9632). The board has real time controller and a Field Programmable Gate Array (FPGA) device. A wireless router is connected to IP camera and the board. To control the movement of wheels a fuzzy logic based algorithm is proposed in this paper. The data received from the camera is processed using optical character recognition method and the steering ultrasonic sensor is used to measure the distance, avoid the obstacles. The entire design was done using NILabVIEW and the test results of this new approach show the quick response of the robot to follow a person in a smooth manner and avoiding the obstacles.
机器人系统采用模糊逻辑进行人的跟踪
本文提出了一种在室内环境中跟随人躲避障碍物的机器人系统。使用的机器人平台是DaNI机器人,其前端具有180度转向超声波传感器和单板可重构输入输出(SBRIO-9632)。该板具有实时控制器和现场可编程门阵列(FPGA)器件。通过无线路由器连接IP摄像机和单板。本文提出了一种基于模糊逻辑的车轮运动控制算法。从摄像头接收到的数据采用光学字符识别方法进行处理,并使用转向超声波传感器测量距离,避开障碍物。整个设计是使用NILabVIEW完成的,这种新方法的测试结果表明,机器人能够快速响应,以平稳的方式跟随人并避开障碍物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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