Research of robotic arm control system based on deep learning and 3D point cloud target detection algorithm

Abstract

With the continuous industrial upgrading and smart manufacturing, human-machine intelligent interaction and industrial robot control and other related industries have exploded, and the industrial demand has gradually expanded from point to point to affect various industrial categories, such as in the automotive industry, robotic arm welding, machine vision detection of defects and other applications for enterprises to significantly improve production efficiency. A robotic arm control system is developed based on deep learning and 3D point cloud target detection algorithm, which can control the operation of the robotic arm based on image recognition and target detection according to the images captured by the camera. The research and design of this paper can provide new application prospects for thinking about image recognition and intelligent robotic arm control.