The navigation and positioning of mobile robots is one of the key technologies for autonomous robot navigation.In order to improve the navigation and positioning capabilities of mobile robots,a combination of multiple navigation and positioning sensors was proposed as a fusion unit,and an extended Kalman filter algorithm was designed to fuse the data collected by the gyroscope,odometer and electronic compass.A fuzzy neural network was designed to train and process the fused data,the accuracy and efficiency of data processing was improved,and precise control of the mobile robot was achieved.Finally,a simulation analysis was carried out.The results prove that using the proposed multi-sensor information fusion algorithm,the mobile robot can not only enable to locate autonomously in a complex environment but also achieve effective obstacle avoidance,which has practical reference value.