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Non coaxial two wheeled robots are prone to instability during turns due to the non collinear and non parallel construction of their wheel axes. In order to improve the control performance of the robot in complex environments, a non coaxial two wheeled robot turning automatic balance control method based on SVM data filtering is studied. Switch the status of robot sensor nodes and define sensor anchors to achieve the transformation and decomposition of robot turning motion data. Select SVM filtering parameters, analyze the odd even model of robot motion behavior under this condition, implement coupling reconstruction of sensor data, and complete SVM coupling filtering processing of robot sensor data. Analyze the gait pattern of the two wheeled robot"s foot end, follow the non coaxial planning principle of the turning foot end gait, calculate the turning trajectory, and derive the specific control function expression. Complete the design of the non coaxial two wheeled robot"s turning automatic balance control method under sensor data SVM coupled filtering. The experimental results show that based on the above method, the pitch angle, roll angle, and yaw angle can be controlled within a reasonable numerical range, effectively ensuring the motion balance of the robot during turning.