ENHANCING ROBOTICS EDUCATION: DEVELOPMENT OF AN AI-DRIVEN AUTONOMOUS NAVIGATION SYSTEM USING LIDAR SLAM FOR ROBOTIC WAITERS IN RESTAURANT ENVIRONMENTS

This research into autonomous mobile robots introduces an innovative, educational approach using artificial intelligence (AI) and advanced navigation technologies to enhance learning in robotics, engineering, and computer science. The study focuses on developing an intelligent navigation system for robotic waiters that can operate independently in complex, dynamic environments like restaurants. Through this project, students gain insights into real-world applications of AI in robotics, particularly in employing LiDAR-based Simultaneous Localization and Mapping (SLAM) for precise navigation. Key to this system is the use of LiDAR sensors, which emit laser pulses to create detailed maps, enabling the robot to navigate effectively even in challenging lighting conditions. The Nvidia Jetson Nano, a powerful compact computer, functions as the robot’s “brain,” controlling its movements and processing navigation data in real time. This aspect of the project offers hands-on learning in embedded systems, giving students practical experience with computing hardware and data handling. Beyond technical skills, this research encourages students to consider the broader impacts of AI and robotics in hospitality. By exploring how autonomous robots can safely navigate and serve in crowded spaces, students engage with both engineering challenges and the transformative potential of AI in service industries. This initiative provides a holistic, hands-on educational experience aligned with cutting-edge developments in robotics, preparing students with vital skills for a technology-driven future. JEL classification: Classify your work using the suitable JEL codes. E.g. G12, G14