Interpreting and learning voice commands with a Large Language Model for a robot system
arXiv:2407.21512
Abstract
Robots are increasingly common in industry and daily life, such as in nursing homes where they can assist staff. A key challenge is developing intuitive interfaces for easy communication. The use of Large Language Models (LLMs) like GPT-4 has enhanced robot capabilities, allowing for real-time interaction and decision-making. This integration improves robots' adaptability and functionality. This project focuses on merging LLMs with databases to improve decision-making and enable knowledge acquisition for request interpretation problems.
PP-RAI 2024, 5th Polish Conference on Artificial Intelligence, 18-20.04.2024 Warsaw, Poland