Affiliation:
1. School of Information Technology and Electrical Engineering, The University of Queensland, Australia
2. Electrical Engineering and Computer Science School, Queensland University of Technology, Australia
Abstract
For robots to use language effectively, they need to refer to combinations of existing concepts, as well as concepts that have been directly experienced. In this paper, we introduce the term generative grounding to refer to the establishment of shared meaning for concepts referred to using relational terms. We investigated a spatial domain, which is both experienced and constructed using mobile robots with cognitive maps. The robots, called Lingodroids, established lexicons for locations, distances, and directions through structured conversations called where-are-we, how-far, what-direction, and where-is-there conversations. Distributed concept construction methods were used to create flexible concepts, based on a data structure called a distributed lexicon table. The lexicon was extended from words for locations, termed toponyms, to words for the relational terms of distances and directions. New toponyms were then learned using these relational operators. Effective grounding was tested by using the new toponyms as targets for go-to games, in which the robots independently navigated to named locations. The studies demonstrate how meanings can be extended from grounding in shared physical experiences to grounding in constructed cognitive experiences, giving the robots a language that refers to their direct experiences, and to constructed worlds that are beyond the here-and-now.
Subject
Behavioral Neuroscience,Experimental and Cognitive Psychology
Cited by
2 articles.
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1. Collaborative Robots Learning Spatial Language for Picking and Placing Objects on a Table;Proceedings of the 5th International Conference on Human Agent Interaction;2017-10-27
2. Lingodroids: Cross-Situational Learning for Episodic Elements;IEEE Transactions on Cognitive and Developmental Systems;2016-03