Integration of Deep Learning Algorithms in Autonomous Industrial Manipulators

Abstract

This study explores the implementation of convolutional neural networks (CNN) in robotic arms used for high-precision assembly. By integrating advanced vision sensors with deep learning algorithms, the system demonstrated a 15% increase in error detection and a 20% reduction in cycle time compared to traditional PID control systems.