LLM-Based Spatial Information Processing and Voice Command Actions for Serving Robots

This study proposes an integrated framework to enhance the autonomy and user interaction of serving robots. By combining spatial information processing, speech recognition, and large language models (LLMs), the system improves efficiency and usability in complex environments. It enables precise task execution and enhances user interaction through intuitive speech commands and natural language understanding. The framework also boosts operational efficiency, allowing robots to navigate autonomously and respond to commands in real-time. This approach advances both robot autonomy and user experience, offering a new paradigm in service robotics.