Implementation of Map Based Automated Navigation Robot

Abstract

The advancement of autonomous robotic systems has led to innovative applications in document delivery, tour guidance, and obstacle avoidance. This research focuses on the development of a Map-Guided Automated Robot designed to enhance efficiency in office environments by securely transporting documents and materials. The system integrates multiple sensor technologies, including ultrasonic sensors for obstacle detection, a color sensor for navigation, and an RFID module for security authentication. A microcontroller-based control system ensures seamless operation, with data logging capabilities for performance tracking.

Additionally, the study incorporates principles of autonomous tour guide robots and obstacle avoidance mechanisms. A QR code recognition system enables navigation in structured indoor environments, while ultrasonic range sensors assist in maintaining safe distances from obstacles. Furthermore, fuzzy control algorithms and LiDAR-based navigation strategies are explored to improve autonomous movement in dynamic conditions. The integration of Bluetooth communication and text-to-speech functionality enhances human-robot interaction, making the system adaptable to diverse applications such as office logistics, guided tours, and unmanned surface vehicle navigation.