Description

DIY Obstacle Avoiding Robot Kit using Arduino

DIY Obstacle Avoiding Robot Kit using Arduino is a popular and educational project that demonstrates the implementation of sensors and programming to enable a robot to navigate through an environment while avoiding obstacles.

Here’s a brief overview:

1. Arduino Microcontroller: The central control unit of the robot is an Arduino board, such as Arduino Uno or Arduino Nano. It processes inputs from sensors and controls the robot’s movements.
2. Ultrasonic Sensors: These sensors are commonly used for obstacle detection. They emit ultrasonic waves and measure the time it takes for the waves to bounce back after hitting an obstacle. Based on this information, the Arduino calculates the distance to the obstacle.
3. Motor Drivers: The robot is equipped with motor drivers that control the movement of motors connected to the wheels. The Arduino adjusts the motor speeds and direction to navigate around obstacles.
4. Chassis and Wheels: The physical structure of the robot includes a chassis and wheels, providing mobility and stability. The design ensures effective placement of the ultrasonic sensors for comprehensive obstacle detection.
5. Feedback Mechanism: Some designs may incorporate feedback mechanisms, such as LEDs or buzzers, to provide indications about the robot’s status or alert the user when an obstacle is detected.

Features:

Obstacle Detection:

• An HC-SR04 ultrasonic sensor is used to measure distance to obstacles.

Obstacle Avoidance:

• Moves forward if no obstacle is detected.
• Stops and reverses if an obstacle is detected within 40 cm.
• Scans the environment to the right and left using a servo motor.
• Decides to turn right or left based on which side has more space.

Movement Control:

• Moves forward or backward by controlling the L298N motor driver.
• Turns right or left by adjusting motor directions.
• Stops all movement when needed.

Scanning and Decision Making:

• Servo motor pivots to scan for obstacles on both sides.
• Chooses turning direction based on distance readings from the scan.