Servo control technology for automatic screw-tightening process of robotic arm based on multi-vision sensor

Abstract This article discusses the servo control technology for the automatic screw-tightening process of a robotic arm based on multiple visual sensors, aiming at the assembly requirements of complex spatial structural components. The study emphasizes the importance of automated screw-tightening processes in industrial automation to improve efficiency and product quality. Image processing and servo technology have been introduced to achieve precise control of the screw-tightening process. The research focuses on developing a distributed architecture to control robot arms and camera modules, process image information, and make servo adjustments based on perception data. Detailed introductions are given to the assembly control system model, visual observation scheme, image processing algorithms for hole recognition and screwdriver posture detection, as well as servo control mechanism. The research aims to improve the efficiency and accuracy of the screw-tightening process through advanced technology integration.