Learning of object identification by robots commanded by natural language

Chandimal Jayawardena, Keigo Watanabe, Kiyotaka Izumi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Natural language communication is very important in Human-Robot cooperative systems. As a part of natural language communication, learning to identify natural language references such as "small red cube" is very useful. This paper proposes a method of learning object identification in which the meanings of references such as above can be inferred. The proposed method is demonstrated with an experiment conducted with a PA-10 redundant manipulator and a set of objects. The robot manipulator is issued commands like "pick the big red cube" to identify and pick objects placed on a table. The robot learns to interpret the meaning of this type of natural commands by learning individual lexical symbols in the vocabulary and their corresponding object features.

Original languageEnglish
Title of host publicationIntelligent Autonomous Systems 9, IAS 2006
Pages913-920
Number of pages8
Publication statusPublished - Dec 1 2006
Externally publishedYes
Event9th International Conference on Intelligent Autonomous Systems, IAS 2006 - Tokyo, Japan
Duration: Mar 7 2006Mar 9 2006

Publication series

NameIntelligent Autonomous Systems 9, IAS 2006

Other

Other9th International Conference on Intelligent Autonomous Systems, IAS 2006
CountryJapan
CityTokyo
Period3/7/063/9/06

Keywords

  • Lexical symbols
  • Natural language commands
  • Object features
  • Object identification

ASJC Scopus subject areas

  • Computer Science(all)
  • Computational Mechanics
  • Control and Systems Engineering

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  • Cite this

    Jayawardena, C., Watanabe, K., & Izumi, K. (2006). Learning of object identification by robots commanded by natural language. In Intelligent Autonomous Systems 9, IAS 2006 (pp. 913-920). (Intelligent Autonomous Systems 9, IAS 2006).