This article introduces a control strategy designed to manage the intricate dynamics, external disturbances, and model uncertainties of flexible robotic arms. The approach is termed adaptive fuzzy compensation-based sliding mode control for robotic arms. Its key features include integrating sliding mode control and vague approximation, as well as utilizing a fuzzy system for adaptive approximation of unknown components in the robotic arm model. Through Matlab/Simulink simulations, the authors validate the stability of this method in control systems. They demonstrate its effectiveness in reducing fuzzy gains while achieving the desired dynamic performance indicators.