Design and Implementation of an Ultrasonic Sensor-Based Obstacle Avoidance System for Arduino Robots

This study focuses on the development of an obstacle avoidance robot controlled by an ultrasonic sensor. The robot utilizes robotics and artificial intelligence techniques to improve obstacle avoidance and enhance safety in various scenarios, particularly in the context of road accidents. The system incorporates an Arduino microcontroller and ultrasonic sensors that detect obstacles within the robot's path. By processing the sensor data, the microcontroller employs artificial intelligence algorithms to predict the presence of obstacles in real-time. The ultrasonic sensor is strategically positioned at the front of the robotic vehicle, continuously gathering data from the surrounding area. When an obstacle is detected, the robot autonomously adjusts its direction to avoid collision. The sensor relays the collected data to the microcontroller, which then determines the appropriate movement and direction for the robot's wheels. Consequently, the robot built with our approach is satisfactorily able to detect obstacles and avoid them, with a remarkable accuracy rate of 84%. This proactive approach to obstacle detection and avoidance aims to prevent potential accidents and promote safer navigation. The obstacle avoidance robot serves as a practical solution for detecting and avoiding obstacles, with potential applications in various domains. By combining robotics, artificial intelligence, and sensor technologies, this study contributes to the development of intelligent systems capable of autonomously navigating their environment while ensuring safety.