RESEARCH AND DEVELOPMENT OF AN AUTONOMOUS MOBILE ROBOT FOR EDUCATIONAL SUPPORT WITH INTELLIGENT RECOGNITION AND DIALOGUE FUNCTIONS

In the context of educational digital transformation, the application of autonomous mobile robots for training support has been increasingly investigated. However, most existing studies have mainly focused on navigation, while user identification and dialogue interaction for educational purposes have not been sufficiently addressed. In this study, an autonomous mobile robot integrated with Light Detection and Ranging sensors and artificial intelligence was designed and implemented to support training activities in educational institutions. The proposed system was developed by integrating a Delta-2A Light Detection and Ranging sensor with a simultaneous localization and mapping algorithm for autonomous navigation, an image processing module for face recognition, and a natural language model for user dialogue interaction. Experimental evaluations were conducted in a school corridor environment. The results showed that a 94% success rate in obstacle avoidance was achieved, face recognition accuracy reached 85% over 50 experimental trials, and correct dialogue response accuracy was 88%. These results indicate that intelligent autonomous mobile robots can be effectively applied to training support and learner consultation, contributing to improved management efficiency and enhanced learning experiences in educational environments.