Abstract: The concept and development of a multipurpose robot car that avoids obstacles is presented in this project, which is built on the Arduino platform. The project's goal is to build an adaptable, autonomous robot that can go through many types of surroundings and instantly avoid obstacles. The robot uses a mix of motor control and sophisticated algorithms to assure obstacle avoidance, and it uses ultrasonic sensors to identify impediments. The main elements, the creation procedure, and the possibilities for future growth of this experimental and instructional platform are described in the abstract. In addition to providing a fantastic introduction to robotics, the multifunctional obstacle avoidance robot car lays the groundwork for upcoming robotic applications such as autonomous navigation, surveillance, and more. In addition to ultrasonic sensors for obstacle detection, the robot integrates an ESP32 camera coupled with YOLO (You Only Look Once) object recognition. The incorporation of the ESP32 camera enhances the robot's perception capabilities, allowing it to capture real-time visual data from its surroundings. The YOLO object recognition system further enables the robot to identify and categorize objects swiftly and accurately. This synergy between motor control, algorithms, ultrasonic sensors, ESP32 camera, and YOLO contributes to a robust obstacle avoidance mechanism.

Keywords: Arduino microcontroller, ultrasonic sensor, DC Motor, servo motor, esp32 camera, yolo, cnn.

Divyanshu Bisen, Ayushi Makode, Janvi Itiwale, Samiksha Warade, Prof.Trupti.Malewar,"Multi-functional Obstacle Avoidance Arduino Robot Car", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 1, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13128.

PDF | DOI: 10.17148/IJARCCE.2024.13128

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