An Adaptive Localization Method for Autonomous Digging Robot

Digging robot is a kind of autonomous robot, which can move in mud according to the prearranged trajectory. Owing to the bad environment in the mud, the location system is pivotal for digging robot. By the working principle of digging robot, its location system with relative location is designed. The location error of relative location is accumulated with the increase of move distance, so the total error of location system is increased. LMS adaptive algorithm is a data processing algorithm with low quantity of calculation. Therefore LMS adaptive filter is applied to process the location information to improve the accuracy of location system. The adaptive algorithm of location system is simulated in the computer. The simulation result shows that LMS adaptive algorithm can improve the accuracy of location system effectively.