Interpreting and learning voice commands with a Large Language Model for a robot system

Autor:	Stankevich, Stanislau, Dudek, Wojciech
Rok vydání:	2024
Předmět:	Computer Science - Robotics Computer Science - Computation and Language Computer Science - Neural and Evolutionary Computing
Druh dokumentu:	Working Paper
Popis:	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. Comment: PP-RAI 2024, 5th Polish Conference on Artificial Intelligence, 18-20.04.2024 Warsaw, Poland
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2407.21512 Zobrazit plný text záznamu View this record from Arxiv