LIBO:利用物体识别的抓取机器人

Uma Sahu, Srushti Upadhyay, N. Singh, Pritam Patil
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引用次数: 3

摘要

由于功率和成本的限制,在非结构化环境中运行的机器人在机载计算方面受到限制,并且它们遇到的物体的数据有限。Arduino和MATLAB图像处理提出了一个瘦客户端模型,机器人连接到计算基础设施,访问计算资源和数据集。介绍了机器人识别与抓取系统的系统架构和原型。原型系统包含一个机器人,它基本上是一个4自由度的机械臂,带有顶部安装有网络摄像头的可移动平台,MATLAB通过图像处理识别正确的条形码,并在arduino微控制器上生成用于“PICK”和“PLACE”动作的信号,同时使用WI-FI进行无线通信。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LIBO: The grasping robot using object recognition
Due to constraints on power and cost, robots operating in unstructured environments have limits on onboard computation and limited data on the objects they encounter. Arduino and MATLAB image processing proposes a thin-client model where robot is connected to computing infrastructure for access to computing resources and datasets. The work presents system architecture and a prototype on Robotics system for recognizing and grasping objects. The prototype system incorporates a robot which is basically a 4-degree freedom robotic arm with a movable platform with a web cam mounted on the top, MATLAB for recognizing the correct barcode by image processing and generating the signal on the arduino microcontroller for `PICK' and `PLACE' action along with the use of WI-FI for wireless communication.
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