Tour Guide Robot

Tour guide robots aim to autonomously navigate and interact with visitors, providing information and enhancing the visitor experience. Current research focuses on improving navigation in unfamiliar environments through inter-agent knowledge transfer and efficient path planning algorithms that account for factors like battery life and latency constraints. These advancements leverage techniques such as occupancy map generation and multi-person tracking, often incorporating large language models or other machine learning approaches for natural interaction. The resulting improvements in robot autonomy and human-robot interaction have implications for museum exhibits, tourism, and other service applications.