An AI Powered Tour Guide Robots: Technologies, Architectures, And Implementation for the Academic Center of Excellence

The increasing demand for interactive and autonomous information dissemination in specialized environments such as academic Center of Excellence has led to growing interest in AI-powered tour guide robots. This paper reviews the current state of such systems with a focus on developing a low-cost and efficient solution for the Centre of Excellence in Robotics and Automation under Industry 4.0. The study highlights core technologies including autonomous navigation, obstacle avoidance, and conversational artificial intelligence for real-time human–robot interaction. The review also explores system integration using embedded platforms such as Raspberry Pi 4GB, along with supporting technologies like computer vision, speech recognition, and natural language processing to enhance user engagement. Special attention is given to practical challenges such as localization accuracy, response latency, and operation in dynamic indoor environment Furthermore, key design considerations including cost-effectiveness, scalability, energy efficiency, and ease of deployment are discussed. The paper also outlines performance evaluation metrics such as navigation accuracy, interaction success rate, and user satisfaction. This study aims to provide a foundational reference for undergraduate B.E. projects by identifying research gaps, current trends, and best practices in the development of intelligent robotic tour guide systems.