In order to improve the accuracy and efficiency of mapping and positioning,robots need to utilize more types and more advanced sensor technologies.The introduction of visual-inertial odometry(VIO)into the SLAM solution can help the robot obtain more accurate attitude information,thereby improving the ability of autonomous positioning and map construction.In addition,the fusion of multiple sensor information can solve the error and uncertainty problems caused by a single sensor,and further improve the accuracy of positioning and movement.
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