Obstacle Avoidance Robot Car using IR Sensor

The Obstacle Avoidance Robot Car using IR Sensors is an autonomous vehicle that can detect and avoid obstacles in its path. This project is ideal for beginners, students, and robotics enthusiasts, as it introduces key concepts in sensor-based navigation and automation.

How It Works:

The robot uses Infrared (IR) sensors to detect obstacles. When an object is detected, the sensors send signals to the motor driver, which then changes the robot’s direction to avoid a collision. The system ensures smooth movement and automatic navigation without human intervention.

Key Components:

• IR Sensors: Detect obstacles by emitting and receiving infrared signals.
• Motor Driver Module: Controls the movement of the wheels.
• DC Motors & Wheels: Enable forward, backward, and turning motions.
• Chassis: Provides a stable base for mounting components.
• Power Supply (Battery): Powers the entire system.

Features & Benefits:

• Fully Autonomous: Moves without manual control.
• Efficient Obstacle Detection: IR sensors provide quick response time.
• Simple & Cost-Effective: Uses easily available components.
• Ideal for Learning: Helps understand robotics, automation, and sensor applications.

Applications:

• Educational Robotics: Great for schools and colleges.
• Autonomous Navigation: Foundation for advanced self-driving systems.
• DIY & Hobby Projects: Fun and interactive project for robotics enthusiasts.

Conclusion:

The Obstacle Avoidance Robot Car using IR Sensors is a simple yet effective project for learning about autonomous movement, sensor technology, and robotics. It is a stepping stone to advanced robotic applications such as AI-driven navigation and smart vehicles.