Autonomous Guided Vehicle  Built From the Ground Up 

From line-following to vision-based navigation — merging mechanics, electronics, and autonomy. 

I developed an Autonomous Guided Vehicle (AGV) capable of navigating in real-world spaces using vision and sensors. The vehicle is built on a 4 omni-wheel chassis powered by geared DC motors and controlled using an Arduino Mega paired with a Raspberry Pi 4. Initially, the AGV used IR-based line following, but I later tried to upgraded it to rely on the Intel RealSense D415 depth camera for obstacle detection and intelligent movement. It integrates a triple-axis gyroscope and accelerometer for orientation tracking, allowing for smoother turns and responsive navigation. This project represents my progression from simple hardware logic to intelligent perception systems.