Manufacturing automation standards for smart fabrication using robot in kinematics control system with machine learning model

Mechanical hardware has been assuming a focal part since the proposition of brilliant assembling. Starting from the start of the initial mix of modern robots into creation lines, modern robots have improved efficiency and assuage people from weighty jobs essentially. Robotics and software are utilized in industrial automation to control machinery and processes in several sectors. IoT, machine learning, and other methods are integrated into many applications to offer clever features that enhance the user experience. This research proposes novel technique in manufacturing industry smart fabrication using robot in kinematics-based control system with automation monitoring using machine learning techniques. Here the smart fabrication is carried out using kinematics-based control system by robots, and the automation monitoring is carried out using reinforcement belief spatio neural network. The experimental analysis is carried out for various automation monitoring data in terms of average accuracy, mean average precision, recall, and integral absolute error (IAE). Proposed technique attained average accuracy of 89%, mean average precision of 92%, recall of 94%, and IAE of 89%.