AI Automators

Excited to share our final project from the Advanced Robotics & Automation course at McMaster University!
"Sensor-Based Autonomous Navigation Robot with Boundary Detection and Obstacle Avoidance".

It treats the black line as a boundary and smoothly follows the path inside the boundary while avoiding obstacles in real time. It detects obstacles ahead, stops, scans left and right with the servo-mounted ultrasonic sensor, chooses a clear path, then stops at a safe distance — all without any human intervention.

Built using line tracking sensors, an ultrasonic sensor, servo motor, and Arduino UNO, this project gave me strong hands-on experience in embedded systems, sensor integration, real-time decision making, and autonomous robotics.