Arduino Obstacle Avoiding Robot Car Engineering Final Year Arduino Project
The Arduino-Based Obstacle Avoiding Robot Car is an innovative project designed to demonstrate how automation and sensors can be used for smart navigation. This car is capable of moving automatically without colliding with any obstacles. It is built using an Arduino Uno, Ultrasonic Sensor, L298 Motor Driver Module, 4 BO Motors with Wheels, and a 12V Battery. The body of the car is handmade from hard cardboard, showcasing creativity and engineering skills.
Original price was: ₹3,999.00.₹3,500.00Current price is: ₹3,500.00.
The Arduino-Based Obstacle Avoiding Robot Car is an innovative and intelligent robotic project designed to showcase the power of automation, sensors, and embedded systems. This smart robot car can automatically detect and avoid obstacles in its path without any manual control, making it a perfect demonstration of autonomous navigation and real-time decision-making.
Built around the Arduino Uno microcontroller, the car uses an Ultrasonic Distance Sensor (HC-SR04) to continuously measure the distance between the vehicle and any obstacle in front of it. When the sensor detects an object within a certain range, the Arduino instantly processes the data and commands the motors — through the L298N Motor Driver Module — to change direction and avoid a collision.
The mechanical design includes 4 BO motors with wheels, powered by a 12V battery, providing smooth and stable movement on different surfaces. The car’s chassis is handmade from durable cardboard, which adds a creative and eco-friendly touch while demonstrating practical engineering skills.
This project is ideal for engineering students, robotics enthusiasts, and beginners in automation who want to learn how sensors and microcontrollers can work together to build intelligent systems. It also serves as an excellent choice for school and college exhibitions, robotics competitions, and academic final-year projects.
With a clear understanding of Arduino programming, sensor interfacing, and autonomous control logic, learners can also upgrade this project by adding features like line following, Bluetooth control, or IoT-based monitoring.
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