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

Stanislau Stankevich, Wojciech Dudek
7/31/2024
cs.ROcs.CLcs.NE

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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.

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Cite this paper

@article{stankevich2024interpreting,
  title  = {Interpreting and learning voice commands with a Large Language Model for a robot system},
  author = {Stanislau Stankevich and Wojciech Dudek},
  year   = {2024},
  eprint = {2407.21512},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2407.21512v1}
}

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