视觉技术在机器人自动跟踪中的应用

Yanhui Xu, Tong Zhang, Dunzhao Yang
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引用次数: 0

摘要

本文主要研究了视觉技术在机器人自动跟踪系统中的应用。利用视觉技术控制机器人,使机器人能够识别目标物体的形状或颜色,从而使机器人实现目标跟踪或自主跟踪的功能。视觉模块主要采用OpenMV图像处理平台,该平台属于嵌入式图像处理设备。机器人自动跟踪系统的硬件部分主要由舵机、控制板和视觉模块组成。视觉模块识别外部环境,并将识别的信号发送给控制板。控制板接收到信号后,进行处理并发送给舵机,舵机驱动机器人完成跟踪任务。实验表明,在自动跟踪中,视觉技术可以实现对目标信息的实时分析,并同步向机器人传递动作指令,具有操作方便、分析速度快、运行稳定、精度高等优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Vision Technology in Automatic Tracking of Robot
This paper focuses on the application of vision technology in the automatic tracking system of robots. By controlling the robot with vision technology, the robot can recognize the shape or color of the target object, so that the robot can realize the function of target tracking or autonomous tracking.The visual module mainly uses OpenMV image processing platform, which belongs to embedded image processing equipment. The hardware part of the robot automatic tracking system is mainly composed of the steering gear, the control board and the vision module. The vision module identifies the external environment and sends the identified signal to the control board. After receiving the signal, the control board processes and sends it to the steering gear, which drives the robot to complete the tracking task. The experiments show that the vision technology can realize the real-time analysis of the target information and synchronously convey the action command to the robot in the automatic tracking, which has the advantages of convenient operation, fast analysis rate, stable operation and high accuracy.
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