Adaptive Gearbox Selection Method to Improve the Performance of Industrial Robotic Arms

Abstract

Robotic arms play a major role in today's environment. Many robotic arms are used in industries, factories, and our surrounding environments. Many types of robotic arms are used for their particular purpose. Gearbox selection is very important in increasing the performance of robotic arms. Therefore, it is necessary to select the gearbox to improve the performance of robotic arms for everyday use. Thus, an efficient method is proposed to improve the performance of robotic arms for industries. This efficient method adaptively controls the gearbox to increase the performance of industrial robotic arms. The cuckoo search algorithm is an efficient method proposed to increase the performance of industrial robotic arms. By this method, we can improve the performance of industrial robotic arms and make use of these robotic arms in the modern world. The technique has been implemented in the working platform of MATLAB, and the results have been analyzed.