PID control based on machine learning algorithm in robot path optimization

Abstract

Robot path optimization in the robotic arm, robot movement of autonomous navigation and motion control plays a great role, PID control is a traditional, simple and widely used control algorithm. in recent years, machine learning has become increasingly popular, and combining machine learning with PID control has become a potential way to optimize PID control deficiencies. However, the results of the research are scattered in different research teams and different research fields, and in order to integrate the existing research results, we have integrated and analyzed articles from different research teams and research fields. This paper aims to discuss the recent perspectives of robot path optimization based on machine learning algorithms and PID control, summarize the existing problems, research progress and challenges, and put forward the research directions and prospects that can be carried out in the future. In addition, the systematic analysis of research studies contained in this paper helps to consolidate the research results that are still in the final stage and to set the research agenda for future development. This article focuses on robotic arms.