The research focuses on the development and implementation of an autonomous mobile robot system capable of obstacle avoidance and continuous mapping in simple environments and comprises hardware components including the Arduino Uno microcontroller, HC-SR04 ultrasonic sensors, L298N motor driver, and MPU6050 gyroscope/accelerometer module, meticulously integrated to facilitate seamless operation and precise control. The software configuration encompasses the setup of the Arduino IDE and integration of specialized libraries tailored to the system's requirements these libraries, along with meticulously crafted algorithms for obstacle avoidance, enable the robot to autonomously navigate its surroundings while avoiding collisions effectively. Additionally, serial communication protocols between the Arduino Uno and Jetson Nano single-board computer facilitate bidirectional data transfer, enabling dynamic interaction and control. The Jetson Nano serves as a critical component, providing computational power for processing sensor data, executing control commands, and facilitating communication with the Arduino Uno, through integration of ROS and RPLIDAR further enhances the system's capabilities, enabling real-time mapping and opening a room for navigation tasks through simultaneous localization and mapping (SLAM) techniques. Throughout the development process, rigorous testing and optimization were conducted to ensure the system's reliability, efficiency, and effectiveness in real-world scenarios the graphical representations, including hardware configuration diagrams, software workflow charts, and performance metrics graphs, provide visual insights into the system's operation and performance.