ABSTRACT The project focuses on researching and implementing solutions to improve the accuracy of the positioning robot system, by pairing multiple sensors together through the extended
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Trang 3¯ዒዠ ዔ ዅዛ: Encoder, IMU, UWB, Lidar
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ዉ ዎ ¯ዛዘ Ø ¿ ×ǡ ¯ ዞ ዉ ² Ø ው simulin ዚ; ¯ዛዘ ²ዉዎÀïLinux ዖኹ¯n High Level ͵ʹ ͶͲͷዖኹǤ
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ኾዒ¯ ǡዞዙ ዅዛ ǡ9250, UWB, Lidar cho bài toán EKF FusionǤÖ ዅLidar Öዞዙ cho ¯
ዛዔ ǡኼ
ABSTRACT
The project focuses on researching and implementing solutions to improve the accuracy of the positioning robot system, by pairing multiple sensors together through the extended Kalman filter (EKF)
The system is modeled, evaluated on the matlab's simulation of the link; python and it are implemented on a Linux embedded computer system
on the controller upper layer and the STM32F405 MCU on the Low layer
The model done is robot dynamic differential, controlled by PID control, using sensors such as Encoder, MPU9250, UWB, Lidar for the EKF Fusion problem In addition, Lidar Sensor is also used to guide the way, avoid obstacles
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