This paper presents the development of an adaptive control system for a two-link robotic manipulator based on fuzzy logic. The control algorithm was designed to ensure robust operation under conditions of changing external load and nonlinear dynamics. Simulation modeling was carried out in MATLAB/Simulink to compare the fuzzy logic controller (FLC) with a classical PID regulator. The results show that the FLC provides higher accuracy and faster stabilization time, making it suitable for industrial robotic systems with variable working conditions.