Challenges in Grounding Language in the Real World

Peter Lindes, Kaoutar Skiker
6/20/2025
q-bio.NCcs.AI

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Abstract

A long-term goal of Artificial Intelligence is to build a language understanding system that allows a human to collaborate with a physical robot using language that is natural to the human. In this paper we highlight some of the challenges in doing this, and propose a solution that integrates the abilities of a cognitive agent capable of interactive task learning in a physical robot with the linguistic abilities of a large language model. We also point the way to an initial implementation of this approach.

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Cite this paper

@article{lindes2025challenges,
  title  = {Challenges in Grounding Language in the Real World},
  author = {Peter Lindes and Kaoutar Skiker},
  year   = {2025},
  eprint = {2506.17375},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2506.17375v1}
}

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