Design of Autonomous Robotic Vehicle Integrated With Obstacle Avoidance Facility and Wireless Connectivity

This research article presents the architecture and implementation of an autonomous vehicle which is capable of following a particular lane and also avoiding obstacles. By incorporating different types of sensors, including infrared sensors for line detection and an ultrasonic sensor for distance measurement, the vehicle navigates its movement effectively. This mechanism consists of an Arduino based microcontroller which processes sensor inputs to execute movement commands, such as forward, turn left, and turn right. A servo motor is employed to periodically scan the surroundings for obstacles, allowing the vehicle to adapt its path in real-time. The system integrates motor drivers to control the vehicle’s motion, ensuring precise maneuverability. Experimental results demonstrate the vehicle’s ability to follow a designated path while efficiently avoiding obstacles, showcasing its potential applications in robotics and automation fields. This project emphasizes the importance of sensor integration and control algorithms in developing autonomous vehicle systems.