The Museum Guide Robot: Enhancing Visitor Experience Through Autonomous Robotics

This paper presents the design, implementation, and evaluation of the Museum Guide Robot (MGR), an autonomous robotic system aimed at enhancing visitor experiences in museum environments. Driven by advancements in artificial intelligence (AI) and robotics, the MGR integrates sophisticated navigation and interaction technologies to facilitate personalized museum tours. Employing a combination of mechanical design features, including a lightweight chassis and Mecanum wheels for omnidirectional movement, the robot effectively navigates crowded spaces while maintaining stability and performance. Its electronic architecture incorporates motor drivers, cameras, LiDAR sensors to ensure precise navigation, obstacle avoidance, and screen with a real-time interface to interact with visitors. The system operates on the Robot Operating System (ROS), which supports modular development, enabling efficient integration of various functionalities, such as path planning and natural language processing. Simulation results demonstrate the MGR's high navigation accuracy and effective user interaction, while real-world testing highlights its potential to enrich the museum experience.