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AutocadHow-ToBeginner · 4 min read

Arduino Project for Gesture Controlled Robot: Step-by-Step Guide

To build a gesture controlled robot with Arduino, use an accelerometer sensor like the MPU6050 to detect hand movements and control the robot's motors accordingly. The Arduino reads sensor data, interprets gestures, and drives motor outputs to move the robot based on those gestures.
📐

Syntax

The basic syntax involves initializing the sensor and motors, reading sensor data, interpreting gestures, and controlling motors.

  • Wire.begin(): Starts I2C communication with the sensor.
  • MPU6050.getAcceleration(): Reads accelerometer data.
  • if statements: Detect specific gestures from sensor values.
  • digitalWrite() or analogWrite(): Control motor pins to move the robot.
arduino
#include <Wire.h>
#include <MPU6050.h>

MPU6050 mpu;

void setup() {
  Wire.begin();
  mpu.initialize();
  pinMode(9, OUTPUT); // Motor control pin example
}

void loop() {
  int16_t ax, ay, az;
  mpu.getAcceleration(&ax, &ay, &az);

  if (ax > 10000) {
    digitalWrite(9, HIGH); // Move forward
  } else {
    digitalWrite(9, LOW); // Stop
  }
  delay(100);
}
Output
The motor connected to pin 9 turns ON when a forward gesture is detected and OFF otherwise.
💻

Example

This example shows how to read accelerometer data from the MPU6050 sensor and control two motors to move a robot forward or backward based on hand tilt gestures.

arduino
#include <Wire.h>
#include <MPU6050.h>

MPU6050 mpu;

const int motorLeftForward = 9;
const int motorLeftBackward = 10;
const int motorRightForward = 5;
const int motorRightBackward = 6;

void setup() {
  Wire.begin();
  mpu.initialize();

  pinMode(motorLeftForward, OUTPUT);
  pinMode(motorLeftBackward, OUTPUT);
  pinMode(motorRightForward, OUTPUT);
  pinMode(motorRightBackward, OUTPUT);

  Serial.begin(9600);
}

void loop() {
  int16_t ax, ay, az;
  mpu.getAcceleration(&ax, &ay, &az);

  Serial.print("ax: "); Serial.print(ax);
  Serial.print(" ay: "); Serial.print(ay);
  Serial.print(" az: "); Serial.println(az);

  if (ax > 10000) { // Tilt forward
    moveForward();
  } else if (ax < -10000) { // Tilt backward
    moveBackward();
  } else {
    stopMotors();
  }
  delay(200);
}

void moveForward() {
  digitalWrite(motorLeftForward, HIGH);
  digitalWrite(motorLeftBackward, LOW);
  digitalWrite(motorRightForward, HIGH);
  digitalWrite(motorRightBackward, LOW);
}

void moveBackward() {
  digitalWrite(motorLeftForward, LOW);
  digitalWrite(motorLeftBackward, HIGH);
  digitalWrite(motorRightForward, LOW);
  digitalWrite(motorRightBackward, HIGH);
}

void stopMotors() {
  digitalWrite(motorLeftForward, LOW);
  digitalWrite(motorLeftBackward, LOW);
  digitalWrite(motorRightForward, LOW);
  digitalWrite(motorRightBackward, LOW);
}
Output
The robot moves forward when tilted forward, backward when tilted backward, and stops when held flat.
⚠️

Common Pitfalls

Incorrect sensor wiring: The MPU6050 must be connected correctly to the Arduino's SDA and SCL pins for I2C communication.

Not calibrating sensor: Raw accelerometer values vary; calibrate or adjust thresholds for reliable gesture detection.

Motor driver missing: Motors usually need a driver module (like L298N) to handle current; connecting motors directly to Arduino pins can damage the board.

arduino
// Wrong: Directly powering motors from Arduino pins
pinMode(9, OUTPUT);
digitalWrite(9, HIGH); // Can damage Arduino

// Right: Use motor driver pins
// Connect motor driver input pins to Arduino
pinMode(9, OUTPUT);
digitalWrite(9, HIGH); // Controls motor driver safely
📊

Quick Reference

  • Use MPU6050 sensor for gesture detection.
  • Connect sensor via I2C (SDA to A4, SCL to A5 on Arduino Uno).
  • Use motor driver modules to safely control motors.
  • Set thresholds for accelerometer values to detect gestures.
  • Test sensor readings via Serial.print() before controlling motors.

Key Takeaways

Use an accelerometer sensor like MPU6050 to detect hand gestures for robot control.
Always connect motors through a motor driver to protect your Arduino board.
Calibrate sensor values and set proper thresholds for accurate gesture detection.
Test sensor data output on Serial Monitor before linking to motor commands.
Use simple if-else logic to map gestures to motor movements for easy control.