Challenges in Grounding Language in the Real World

• URL: http://arxiv.org/abs/2506.17375v1
• Date: Fri, 20 Jun 2025 17:17:53 GMT
• Title: Challenges in Grounding Language in the Real World
• Authors: Peter Lindes, Kaoutar Skiker,
• Abstract summary: 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.<n>We 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.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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