Interpreting and learning voice commands with a Large Language Model for a robot system
<|reference_start|>Interpreting and learning voice commands with a Large Language Model for a robot system: 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.<|reference_end|>
@article{stankevich2024interpreting,
    title={Interpreting and learning voice commands with a Large Language Model for
  a robot system},
    author={Stanislau Stankevich and Wojciech Dudek},
    journal={arXiv preprint arXiv:2407.21512},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.21512},
    primaryClass={cs.RO cs.CL cs.NE}
}