OBSTACLE AVOIDING ROBOT

Abstract

The Obstacle Avoiding Robot is an autonomous robotic system designed to detect obstacles in its path and automatically change its direction to avoid collisions. The main objective of the project is to develop a simple and efficient mobile robot that can navigate through an environment without requiring continuous human control. Such robots can be useful in areas such as industrial automation, surveillance, material transportation, and educational robotics. The system uses a microcontroller, ultrasonic sensor, motor driver, DC motors, wheels, and battery as its main components. The ultrasonic sensor continuously measures the distance between the robot and objects in front of it. The microcontroller processes the sensor readings and determines whether an obstacle is present within a predefined safe distance. When an obstacle is detected, the controller sends appropriate signals to the motor driver to stop the robot and change its direction. The robot can turn left or right depending on the available space and then continue moving forward. This process is repeated continuously, allowing the robot to navigate through its surroundings while reducing the possibility of collisions. The proposed system provides a low-cost, simple, and reliable solution for autonomous navigation. It reduces the need for manual operation and demonstrates the basic principles of sensor-based robotic decision-making and motor control. Overall, the Obstacle Avoiding Robot demonstrates the application of embedded systems, sensors, automation, and robotics for autonomous navigation. The system can be further enhanced using multiple ultrasonic sensors, infrared sensors, cameras, LiDAR, artificial intelligence, path planning, and IoT connectivity to improve obstacle detection, navigation accuracy, and overall performance.