Search Results for author:
Found 2 papers, 0 papers with code
Grounding Language for Interactive Task Learning
This paper describes how language is grounded by a comprehension system called Lucia within a robotic agent called Rosie that can manipulate objects and navigate indoors.
Towards an Indexical Model of Situated Language Comprehension for Cognitive Agents in Physical Worlds
We propose a computational model of situated language comprehension based on the Indexical Hypothesis that generates meaning representations by translating amodal linguistic symbols to modal representations of beliefs, knowledge, and experience external to the linguistic system.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
