Precise control systems are essential for effective robotic-assisted hand rehabilitation. This study compares the performance of Proportional-Integral (PI) controllers and Fuzzy Logic Controllers (FLCs) in a MATLAB-based hand rehabilitation model. The model simulates the motion of all five fingers, tracking position, speed, acceleration, and torque. Four fingers flex to 90° and return to 0°, while the thumb moves to a 20° angle key position for rehabilitation. The results show that both PI and FLC achieve similar accuracy in trajectory tracking and motion control. This comparison confirms that both controllers are effective for patient-specific rehabilitation, providing flexible and adaptive solutions to support recovery.