Application Status and Prospect of Fuzzy Algorithm and Neural Network in Intelligent Control of Forestry Robot

Abstract

 Intelligent control has been widely applied in industrial robot control in recent years, aiming to address control problems such as highly nonlinear models, inaccurate models, and complex task requirements, which are challenging to solve using traditional control methods. Applying intelligent control to the control system of a forestry robot can overcome the disadvantages of traditional control, improve the quality of system control, and significantly improve forestry production efficiency. This paper expounds the research and application status of intelligent control in forestry robot control in recent years, analyzes the shortcomings and problems existing in the current application, and puts forward relevant suggestions, which can provide ideas for the subsequent research of intelligent control in forestry robot control field, assist the optimization and application of related technologies, and further play the supporting role of intelligent control in forestry industry development..