Indoor positioning control of robot based on improved AMCL optimal pose estimation
In the process of robot indoor positioning,there are still problems such as low positioning accura-cy and long positioning time.Therefore,a robot indoor positioning control based on improved AMCL opti-mal pose estimation is proposed.A robot information collection system is build to collect the indoor position information of the robot,improve the threshold function,de-noising the sensor signal,and lay a foundation for its accurate positioning..The Kalman filter data is used to obtain the optimal pose estimation of the ro-bot and achieve the final indoor positioning of the robot.The experiment results show that the positioning er-ror of the proposed method is within 0.3m,the positioning accuracy is higher,the positioning error is small,and the positioning effect is better.
NETL
NSTL
万方数据
