Autonomous inspection and data Gathering Robot

Abstract

In the modern era, the robotics field is advancing rapidly, with many human labor tasks increasingly being handled by autonomous machines. For robots—especially those operating in dynamic or unknown environments—to function effectively, they must be capable of detecting and analyzing their surroundings. This project focuses on the design and development of an autonomous inspection robot capable of environmental recognition and mapping with minimal human intervention. Using a combination of electronics and software knowledge gained both academically and independently, the robot integrates sensors, actuators, and ROS2 to perform 2D SLAM (Simultaneous Localization and Mapping). It operates within indoor environments, building maps, and navigates autonomously. Although this project is currently limited to indoor use, it lays the foundation for future development toward more complex environments, such as underground inspection. This thesis demonstrates the practical application of mechatronics skills and contributes to the growing field of intelligent autonomous systems