Challenges in Grounding Language in the Real World
Neurons and Cognition
2025-06-24 v1 Artificial Intelligence
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.
Cite
@article{arxiv.2506.17375,
title = {Challenges in Grounding Language in the Real World},
author = {Peter Lindes and Kaoutar Skiker},
journal= {arXiv preprint arXiv:2506.17375},
year = {2025}
}
Comments
14 pages, 2 figures