Autonomous Campus Courier System

This paper presents an Autonomous Campus Courier System designed to transport resources efficiently within a college campus. The system integrates image processing for road sign recognition, LiDAR for obstacle detection and avoidance, and Bluetooth communication for user interaction. The robot autonomously navigates predefined paths, verifies deliveries through QR code scanning, and ensures secure package handling. Experimental results indicate accuracy in navigation, real-time obstacle avoidance, and reliable package delivery. The study concludes that autonomous logistics can enhance efficiency, reduce manual intervention, and optimize resource transportation in structured environments.