Basic MPU6050 Arduino sketch of sensor function

TinyGo drivers for sensors, displays, wireless adaptors, and other devices that use I2C, SPI, GPIO, ADC, and UART interfaces.

Flight controller software for hobbyist - build your own flight controller.

STM32 HAL library for GY-521 (MPU6050) with Kalman filter

轮腿机器人：主控esp32 ,陀螺仪MPU6050，PM3510无刷电机和simplefoc驱动器。

MPU6050 Triple Axis Gyroscope & Accelerometer Arduino Library

MPU6050 Arduino Library

MPU6050 full-featured driver library for general-purpose MCU and Linux.

以STM32F103为主控芯片，载有MPU6050的六轴加速度传感器、HC-05蓝牙模块、HC-SR04超声波模块、LCD触摸屏、直流电机、舵机等模块的多功能智能小车

A Python module for accessing the MPU-6050 digital accelerometer and gyroscope on a Raspberry Pi.

Drivers for InvenSense inertial measurement units MPU9250, MPU9150, MPU6050

ESP32 full library for all MPU6000 MPU6050 MPU6500 MPU9150 MPU9250 with SPI and I2C support and more.

Arduino library for easy communication with MPU6050

The most simple, but working, quadricopter flight controller from scratch, using Arduino Uno/Nano.

A differential drive robot is controlled using ROS2 Humble running on a Raspberry Pi 4 (running Ubuntu server 22.04). The vehicle is equipped with a raspberry pi camera for visual feedback and an RPlidar A1 sensor used for Simultaneous Localization and Mapping (SLAM), autonomous navigation and obstacle avoidance.

基于STM32的电子腕表设计。搭载了MPU6050和温湿度传感器，以及一块1.14寸全彩显示屏。

基于STM32的项目代码和电路原理图

MicroPython I2C driver for MPU9250 9-axis motion tracking device

Arduino library for MPU6050

No description available

Lightweight, fast and simple library to communicate with the MPU6050

MPU6050 I2C Library for STM32f103xx family of microcontrollers

No description available

MPU6050/MPU6500/MPU9150/MPU9250 over I2c for RaspberryPi

MPU6050/MPU6500/MPU9150/MPU9250 over I2c for Arduino

A 3D Graphics Engine for the ESP32.

Calibration procedure for the MPU9250's accelerometer, gyroscope, and magnetometer using Python and a Raspberry Pi Computer

This is Kalman filter algorithm written in python language used to calculate the angle, rate and bias from the input of an accelerometer/magnetometer and a gyroscope from MPU6050 using Raspberry pi or any controller that can interpret python.

A collection of drivers for common modules on MSPM0.

Movement data collection using MPU6050 and Raspberry Pi. And obtaining the position and velocity with Python and Matplotlib, with visualization and data processing.