Hahoe KAIST Robot Theatre: Learning rules of interactive robot behavior as a multiple-valued logic synthesis problem

Marek Perkowski, Tsutomu Sasao, Jong Hwan Kim, Martin Lukac, Jeff Allen, Stefan Gebauer

Research output: Contribution to journalConference article

10 Citations (Scopus)

Abstract

The paper presents a new application of decomposition of multiple-valued relations. We developed a theatre of interactive humanoid robots, Hahoe KAIST Robot Theatre. Version 2 includes three full body robots, equipped with vision, speech recognition, speech synthesis and natural language dialog based on machine learning abilities. The needs for this kind of project result from several research questions, especially in emotional computing and gesture generation, but the project has also educational, artistic, and entertainment values. It is a testbed to verify and integrate several algorithms in the domain of Computational Intelligence. Machine learning methods based on multiple-valued logic are used for representation of knowledge and machine learning from examples.

Original languageEnglish
Pages (from-to)236-248
Number of pages13
JournalProceedings of The International Symposium on Multiple-Valued Logic
Publication statusPublished - Sep 20 2005
Event35th International Symposium on Multiple-Valued Logic, ISMVL 2005 - Calgary, Alta., Canada
Duration: May 19 2005May 21 2005

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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