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Computer vision based object grasping 6DoF robotic arm using picamera

机译:使用picamera的基于计算机视觉的对象抓取6DoF机械臂

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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.
机译:本文提出了一个项目,旨在设计可以执行多功能任务的坚固的机械臂。机械手的控制器基于Arduino mega 2560微控制器。该项目的目的是将机械手的所有轴都聚焦在所需的位置上,以抬起,搬运和卸载物体。这需要将电动机作为驱动系统的精确驱动运动控制。进行了进一步的实验,以实现与计算机视觉算法集成的基于相机的3D视觉系统,以识别物体变形和空间协调,以控制与原始训练的偏差。 3D可视化系统能够检测对象以及它们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Raspberry pi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对象。

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