TRACKMASTER: A MICROCONTROLLER-CONTROLLED ROBOT FOR INTELLIGENT LINE NAVIGATION

Abstract

Autonomous mobile robots are increasingly vital in industrial automation, logistics, and educational robotics applications. This study introduces TrackMaster, a compact and intelligent line-following robot designed using a microcontroller-based architecture for precise and efficient path tracking. Leveraging infrared (IR) or light-dependent resistor (LDR) sensors, TrackMaster detects contrast-based paths— typically a dark line on a light surface—and processes these signals via a microcontroller such as ATmega32A or PIC16F877A. The robot’s control logic continually monitors sensor input to determine its position relative to the line and dynamically adjusts motor activity using a feedback mechanism. If deviations are detected, the microcontroller issues directional corrections to steer the robot back onto the path. The system architecture includes sensor arrays, comparator circuits, a motor driver (e.g., L293D), and differential drive motors, delivering accurate line tracking performance. Implementation and testing indicate that TrackMaster follows predefined paths reliably at operational speeds between 90 to 150 RPM; however, above this threshold, sensor limitations may impact tracking precision—highlighting potential hardware and algorithm improvements. Overall, the robot demonstrates strong potential for applications in automated material handling, educational platforms, and foundational STEM learning projects