Position Tracking Method of Mobile Robot Autonomous Navigation Based on Visual Information
There is a large deviation between the real-time position node of the robot and the preset navigation trajectory sample points,which leads to the failure of the navigation system to accurately track the robot motion behavior.In order to solve the above problems,a position tracking method of mobile robot autonomous navigation based on visual information is designed.The navigation points are extracted and connected based on the visual information model in order to save the navigation visual information.The inverse solution is calculated for the autonomous navigation motion behavior of the robot,and the conditions are modeled according to the synchronous position tracker.The tracking error is calculated to complete the design of the mobile robot autonomous navigation position tracking method based on visual information.The experimental results show that the pro-posed method can control the coordinate deviation between the real-time position nodes and the preset navigation trajectory sam-ples within 1%,so that the navigation system can not accurately track the robot motion behavior due to the deviation problem.
visual informationmobile robotautonomous navigationposition trackingtrack sample point