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This paper discusses the sensor technology to improve the indoor positioning ability of educational assisted robot. Under the background of mechanics, by integrating various sensors (such as inertial measurement units, optical sensors, etc.) and using particle filtering algorithm, more accurate indoor positioning is realized. The study adopts modular design, which divides the robot system into three subsystems: robot, action recording and wireless remote control, and ensures performance through independent development and testing. In the positioning system, combined with odometer, IMU and lidar data, the dynamic particle number particle filtering algorithm is used to achieve global accurate positioning. This study is of great significance for improving the application effect and personalized educational experience of educational-assisted robots.
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