Odometry-Driven Smart Delivery Robot for Daily Application in Academic Office Environment

This research paper presents the design and development of an Odometry-Driven Smart Delivery Robot intended for automation in academic office environments. The proposed robotic system is capable of autonomously transporting files, documents, and notices between different departments and faculty cabins with minimal human intervention. The system integrates advanced technologies such as LiDAR-based mapping, wheel encoder odometry, PID motion control, and computer vision for intelligent navigation and delivery operations.

The robot utilizes a 360-degree LiDAR sensor for real-time environment scanning and mapping, while wheel encoders provide accurate position and movement estimation using odometry principles. An ESP32 microcontroller is used for sensor integration and motion control through PID algorithms, ensuring stable and smooth robot movement. Additionally, a webcam-based face recognition system using OpenCV is implemented to verify authorized recipients before document delivery.

The proposed system demonstrates efficient indoor navigation, obstacle detection, and secure delivery functionality in a structured academic environment. Experimental observations indicate improved operational efficiency, reduced manual effort, and enhanced administrative automation. The project highlights the practical implementation of robotics, mechatronics, and Industry 4.0 technologies for smart institutional applications.

Keywords: Odometry, LiDAR, ESP32, Smart Delivery Robot, PID Control, Face Recognition, Automation, Robotics, SLAM, Academic Office Automation.