Computer vision based object grasping 6DoF robotic arm using picamera

Vishal Kumar, Qiang Wang, Wang Minghua, S. Rizwan, S. M. Shaikh, Xuan Liu
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引用次数: 9

Abstract

This article presents a project to design a robust robotic arm which can perform multifunctional tasks. The controller of the manipulator is based on Arduino mega 2560 Microcontroller. The aim of the project is to focus all axes of manipulator to lift, carry and unload the objects at a desired location. This requires a precise drive motion control that incorporate electric motors as a drive system. Further experiments are done to implement a camera based 3D vision system integrated with a computer vision algorithm to recognize object deformation and spatial coordination to control the deviation from the original training. The 3D visualization systems are able to detect the objects as well as their distance from the End-effecter and transmit the signals to the drive system. The vision system requires a separate computing hardware capable of processing complex vision algorithms. We utilize Raspberry pi microcontroller for processing the vision data, separately making the vision system capable of recognizing the specified object as per program commands.
基于计算机视觉的小摄像机6DoF机械臂物体抓取
本文提出了一种可执行多功能任务的机械臂的设计方案。机械手的控制器基于Arduino mega 2560单片机。该项目的目的是将机械手的所有轴集中在所需的位置上升降,搬运和卸载物体。这需要一个精确的驱动运动控制,将电动机作为驱动系统。在此基础上,结合计算机视觉算法实现了基于相机的三维视觉系统,实现了物体变形识别和空间协调控制与原始训练的偏差。三维可视化系统能够检测物体及其与末端执行器的距离,并将信号传输到驱动系统。视觉系统需要能够处理复杂视觉算法的独立计算硬件。我们利用树莓派微控制器处理视觉数据,使视觉系统能够根据程序命令识别指定的物体。
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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