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The control process of the mobile robot motion tracking control system currently studied is susceptible to external disturbances, resulting in poor control stability and poor motion tracking accuracy. For this reason, a new mobile robot motion tracking based on the big data clustering algorithm is designed Control System. The main controller of the hardware part is responsible for remote wireless communication, image acquisition data transmission and steering gear drive connection, the drive controller provides kinetic energy guarantee for the robot walking; the remote control module is responsible for the transmission of data, images and instructions; the steering gear controls the robot’s walking , Steering: The software part first analyzes the robot's moving gait through the method of big data clustering, determines the position of the obstacle according to the principle of the motion ultrasonic sensor, considers the running state of the mobile robot and the trajectory of the foot, and builds the robot walking control model. The attitude of the robot is adjusted through the hip joint to eliminate the influence of external disturbances on the attitude and movement speed of the robot, and the anti-disturbance control model is obtained. The experimental results show that the designed system has good performance in the stability of robot motion control and the method of countering external disturbances, and can achieve accurate tracking of mobile robot motion.