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How to Use Grove-IMU: Examples, Pinouts, and Specs

Image of Grove-IMU
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Introduction

The Grove-IMU (Manufacturer Part ID: lcm20600+AK09918) is a high-performance Inertial Measurement Unit (IMU) developed by Seeed Studio. It integrates a 3-axis accelerometer, a 3-axis gyroscope, and a 3-axis magnetometer into a single module, enabling precise orientation and motion sensing. This compact and versatile sensor is ideal for applications such as robotics, drones, wearable devices, gaming controllers, and navigation systems.

The Grove-IMU is part of the Grove ecosystem, which simplifies prototyping and development by providing standardized connectors and plug-and-play functionality. It communicates with microcontrollers via the I2C interface, making it compatible with popular development platforms like Arduino, Raspberry Pi, and others.

Explore Projects Built with Grove-IMU

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Arduino-Controlled Soil Monitoring and Motor Management System
Image of ard: A project utilizing Grove-IMU in a practical application
This is a multi-functional agricultural or environmental monitoring and control system. It uses soil sensors for data collection, an IMU for orientation tracking, and motor drivers for actuating mechanisms, all managed by an Arduino UNO. Communication capabilities are extended with an RS-485 module, and the system is powered by a rechargeable Li-ion battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Battery-Powered Arduino UNO with BNO085 IMU and Bluetooth HC-06 for Orientation Tracking
Image of bno085: A project utilizing Grove-IMU in a practical application
This circuit integrates an Arduino UNO with an Adafruit BNO085 9-DOF Orientation IMU and a Bluetooth HC-06 module. The Arduino reads orientation data from the IMU via I2C and transmits it over Bluetooth, powered by a 7.4V battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino UNO-Based IMU and Bluetooth Communication System
Image of New one: A project utilizing Grove-IMU in a practical application
This circuit features an Arduino UNO microcontroller interfaced with a Bluetooth HC-06 module for wireless communication and an Adafruit BNO085 9-DOF Orientation IMU for motion sensing. The Arduino handles data acquisition from the IMU via I2C and communicates the data wirelessly through the Bluetooth module.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino UNO-Based Smart Sensor System with GPS, GSM, and Bluetooth Connectivity
Image of group 7 project: A project utilizing Grove-IMU in a practical application
This circuit integrates an Arduino UNO with various sensors and modules, including an MPU-6050 accelerometer, HC-SR04 ultrasonic sensor, Neo 6M GPS module, SIM800c GSM module, Bluetooth HC-06, and a Micro SD card module. The system is designed to collect and log sensor data, detect obstacles, and send GPS location updates via GSM, with additional communication capabilities through Bluetooth.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with Grove-IMU

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of ard: A project utilizing Grove-IMU in a practical application
Arduino-Controlled Soil Monitoring and Motor Management System
This is a multi-functional agricultural or environmental monitoring and control system. It uses soil sensors for data collection, an IMU for orientation tracking, and motor drivers for actuating mechanisms, all managed by an Arduino UNO. Communication capabilities are extended with an RS-485 module, and the system is powered by a rechargeable Li-ion battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of bno085: A project utilizing Grove-IMU in a practical application
Battery-Powered Arduino UNO with BNO085 IMU and Bluetooth HC-06 for Orientation Tracking
This circuit integrates an Arduino UNO with an Adafruit BNO085 9-DOF Orientation IMU and a Bluetooth HC-06 module. The Arduino reads orientation data from the IMU via I2C and transmits it over Bluetooth, powered by a 7.4V battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of New one: A project utilizing Grove-IMU in a practical application
Arduino UNO-Based IMU and Bluetooth Communication System
This circuit features an Arduino UNO microcontroller interfaced with a Bluetooth HC-06 module for wireless communication and an Adafruit BNO085 9-DOF Orientation IMU for motion sensing. The Arduino handles data acquisition from the IMU via I2C and communicates the data wirelessly through the Bluetooth module.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of group 7 project: A project utilizing Grove-IMU in a practical application
Arduino UNO-Based Smart Sensor System with GPS, GSM, and Bluetooth Connectivity
This circuit integrates an Arduino UNO with various sensors and modules, including an MPU-6050 accelerometer, HC-SR04 ultrasonic sensor, Neo 6M GPS module, SIM800c GSM module, Bluetooth HC-06, and a Micro SD card module. The system is designed to collect and log sensor data, detect obstacles, and send GPS location updates via GSM, with additional communication capabilities through Bluetooth.
Cirkit Designer LogoOpen Project in Cirkit Designer

Technical Specifications

Below are the key technical details of the Grove-IMU:

Parameter Value
Manufacturer Seeed Studio
Part ID lcm20600+AK09918
Sensor Components 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer
Communication Interface I2C
Operating Voltage 3.3V to 5V
Operating Current ~5mA
Accelerometer Range ±2g, ±4g, ±8g, ±16g
Gyroscope Range ±250°/s, ±500°/s, ±1000°/s, ±2000°/s
Magnetometer Range ±4900µT
Operating Temperature -40°C to +85°C
Dimensions 20mm x 40mm

Pin Configuration

The Grove-IMU module features a standard 4-pin Grove connector. The pinout is as follows:

Pin Name Description
1 VCC Power supply (3.3V to 5V)
2 GND Ground
3 SDA I2C data line
4 SCL I2C clock line

Usage Instructions

Connecting the Grove-IMU to an Arduino UNO

  1. Hardware Setup:

    • Connect the Grove-IMU to the I2C port of the Grove Base Shield.
    • Attach the Grove Base Shield to the Arduino UNO.
    • Ensure the Arduino is powered via USB or an external power source.
  2. Install Required Libraries:

    • Download and install the Seeed_Arduino_LSM6DS3 and Seeed_Arduino_AK09918 libraries from the Arduino Library Manager.
  3. Example Code: Below is an example Arduino sketch to read accelerometer, gyroscope, and magnetometer data from the Grove-IMU:

    #include <Wire.h>
    #include "LSM6DS3.h"  // Library for accelerometer and gyroscope
    #include "AK09918.h"  // Library for magnetometer
    
    LSM6DS3 imu;  // Create an instance of the LSM6DS3 class
    AK09918 mag;  // Create an instance of the AK09918 class
    
    void setup() {
      Serial.begin(9600);  // Initialize serial communication
      Wire.begin();        // Initialize I2C communication
    
      // Initialize the accelerometer and gyroscope
      if (!imu.begin()) {
        Serial.println("Failed to initialize LSM6DS3!");
        while (1);  // Halt execution if initialization fails
      }
    
      // Initialize the magnetometer
      if (!mag.begin()) {
        Serial.println("Failed to initialize AK09918!");
        while (1);  // Halt execution if initialization fails
      }
    
      Serial.println("Grove-IMU initialized successfully!");
    }
    
    void loop() {
      // Read accelerometer data
      float ax = imu.readFloatAccelX();
      float ay = imu.readFloatAccelY();
      float az = imu.readFloatAccelZ();
    
      // Read gyroscope data
      float gx = imu.readFloatGyroX();
      float gy = imu.readFloatGyroY();
      float gz = imu.readFloatGyroZ();
    
      // Read magnetometer data
      float mx = mag.readMagX();
      float my = mag.readMagY();
      float mz = mag.readMagZ();
    
      // Print sensor data to the Serial Monitor
      Serial.print("Accel (g): X=");
      Serial.print(ax, 2);
      Serial.print(" Y=");
      Serial.print(ay, 2);
      Serial.print(" Z=");
      Serial.println(az, 2);
    
      Serial.print("Gyro (°/s): X=");
      Serial.print(gx, 2);
      Serial.print(" Y=");
      Serial.print(gy, 2);
      Serial.print(" Z=");
      Serial.println(gz, 2);
    
      Serial.print("Mag (µT): X=");
      Serial.print(mx, 2);
      Serial.print(" Y=");
      Serial.print(my, 2);
      Serial.print(" Z=");
      Serial.println(mz, 2);
    
      Serial.println("-----------------------------");
      delay(500);  // Wait for 500ms before the next reading
    }
    

Important Considerations

  • Ensure the Grove-IMU is connected to the correct I2C port on the Grove Base Shield.
  • Use pull-up resistors on the I2C lines if the microcontroller does not have internal pull-ups enabled.
  • Avoid placing the sensor near strong magnetic fields or vibrations, as they may affect accuracy.

Troubleshooting and FAQs

Common Issues

  1. The sensor is not detected:

    • Ensure the Grove-IMU is properly connected to the I2C port.
    • Verify that the correct I2C address is being used in the code (default: 0x6A for LSM6DS3 and 0x0C for AK09918).
    • Check the wiring and ensure the power supply voltage is within the specified range.
  2. Incorrect or unstable readings:

    • Ensure the sensor is mounted securely to avoid vibrations.
    • Calibrate the sensor if necessary, especially for the magnetometer.
  3. Library installation errors:

    • Ensure the required libraries (Seeed_Arduino_LSM6DS3 and Seeed_Arduino_AK09918) are installed correctly via the Arduino Library Manager.

FAQs

Q: Can the Grove-IMU be used with a Raspberry Pi?
A: Yes, the Grove-IMU can be used with a Raspberry Pi via the I2C interface. You may need to use Python libraries such as smbus to communicate with the sensor.

Q: How do I calibrate the magnetometer?
A: Calibration involves rotating the sensor in all directions to collect data for offset and scaling adjustments. Refer to the AK09918 datasheet or library documentation for detailed calibration procedures.

Q: What is the maximum sampling rate of the sensor?
A: The LSM6DS3 supports a maximum output data rate (ODR) of 1.66 kHz for the accelerometer and gyroscope. The AK09918 magnetometer supports an ODR of up to 100 Hz.