In this study, we propose applying the Backstepping control method to the Delta robot, incorporating Fuzzy Logic to handle fuzzy input values and provide solutions based on fuzzy sets. This approach aims to enable the robot to approximate the desired motion trajectory within a short timeframe and maintain system stability in the face of disturbances that hinder movement between joint torques. The system's stability is ensured and successfully demonstrated based on Lyapunov stability theory. The performance of the controller is evaluated through numerical simulation results using Matlab & Simulink tools on the figure-eight trajectory. Comparing the Backstepping controller combined with Fuzzy Logic to traditional Backstepping, the results demonstrate the superior performance of the Backstepping controller combined with Fuzzy Logic. It can effectively control the motion of the Delta robot along the desired trajectory with small errors, and short response times, providing a more flexible and adaptive control approach that can handle uncertain inputs, especially when the system is affected by unknown external disturbances.