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arXiv · 2506.17375

Challenges in Grounding Language in the Real World

Peter Lindes·Kaoutar Skiker
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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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Peter Lindes, Kaoutar Skiker. 2025-06-20. Challenges in Grounding Language in the Real World. https://arxiv.org/abs/2506.17375

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