Adeept 2-Wheel Self-Balancing Upright Car Robot Kit for Arduino UNO R3, MPU6050 Accelerometer Gyroscope Sensor + TB6612 Motor Driver, Obstacle Avoidance + Android APP Remote Control, Robot Starter Kit

Adeept 2-Wheel Self-Balancing Upright Car Robot Kit for Arduino UNO R3, MPU6050 Accelerometer Gyroscope Sensor + TB6612 Motor Driver, Obstacle Avoidance + Android APP Remote Control, Robot Starter Kit Adeept 2-Wheel Self-Balancing Upright Car Robot Kit for Arduino UNO R3, MPU6050 Accelerometer Gyroscope Sensor + TB6612 Motor Driver, Obstacle Avoidance + Android APP Remote Control, Robot Starter Kit Adeept 2-Wheel Self-Balancing Upright Car Robot Kit for Arduino UNO R3, MPU6050 Accelerometer Gyroscope Sensor + TB6612 Motor Driver, Obstacle Avoidance + Android APP Remote Control, Robot Starter Kit is a kit to experiment with robotics and Arduino programming.

Adeept 2-Wheel Self-Balancing Upright Car Robot Kit for Arduino UNO R3, MPU6050 Accelerometer Gyroscope Sensor + TB6612 Motor Driver, Obstacle Avoidance + Android APP Remote Control, Robot Starter Kit, more information

Designed based on Arduino UNO R3, the self-balancing robot car kit is a fun and educational Arduino learning kit. We carefully prepared a detailed and easy-to-follow tutorial(PDF), the tutorial contains complete circuit diagrams and assembly steps, according to our tutorial, you will be able to easily build your own self-balancing robot.

The self-balancing robot Kit has multiple functions, such as Balances, moves, run with two wheels, automatic obstacle avoidance, automatically follow and controlled by Android APP.

Controller - Adeept Arduino UNO R3; 6-axis Accelerometer Gyroscope Sensor - MPU6050; Motor Driver - TB6612

Powered by two 18650 rechargeable batteries(This kit does NOT contain batteries and you need to prepare yourself)

This is a self-balancing robot learning kit. The robot is developed based on the Dynamic Stabilization principle for its movement. It uses the MPU6050 precision gyroscope sensor to tell the tilt of the car body, and the Arduino UNO R3 to calculate the PID (Proportional-Integral-Derivative) parameters based on the data sent back by the MPU6050, thus keeping a dynamic balance of the car body by controlling the motors accordingly.

With all components needed for this robot car and the tutorials for assembly, you can make a self-balancing robot by following the easy-to-follow instructions step by step.

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Index Robotics