Toward natural language interfaces for robotic agents: Grounding linguistic meaning in sensors

Tim Oates, Zachary Eyler-Walker, Paul R. Cohen

Research output: Contribution to conferencePaper

11 Scopus citations

Abstract

The results of an experiment, in which human subjects generated unrestricted natural language utterances to describe the activities of a Pioneer-1 mobile robot, is presented. A combination of word clustering applied to the utterances and a common subsequence algorithm applied to the time series of sensor values recorded by the robot made it possible for the Pioneer-1 to identify and represent a variety of features of its environment to which the utterances referred. There are three distinct ways that the robot can push objects, each of which is described with the word pushed by at least on subject, and the sensor time series that result from these situations are all identified as frequent subsequences.

Original languageEnglish (US)
Pages227-228
Number of pages2
StatePublished - Dec 3 2000
Event4th International Conference on Autonomous Agents - Barcelona, Spain
Duration: Jun 3 2000Jun 7 2000

Other

Other4th International Conference on Autonomous Agents
CityBarcelona, Spain
Period6/3/006/7/00

ASJC Scopus subject areas

  • Engineering(all)

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    Oates, T., Eyler-Walker, Z., & Cohen, P. R. (2000). Toward natural language interfaces for robotic agents: Grounding linguistic meaning in sensors. 227-228. Paper presented at 4th International Conference on Autonomous Agents, Barcelona, Spain, .