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35th International Symposium on Multiple-Valued Logic (ISMVL'05)
Hahoe KAIST Robot Theatre: Learning Rules of Interactive Robot Behavior as a Multiple-Valued Logic Synthesis Problem
University of Calgary, Canada
May 19-May 21
ISBN: 0-7695-2336-6
Marek Perkowski, Portland State University, Oregon; Korea Advanced Institute of Science and Technology, KAIST, Daejeon, Republic of Korea
Tsutomu Sasao, Kyushu Institute of Technology, Japan
Jong-Hwan Kim, Korea Advanced Institute of Science and Technology, KAIST, Daejeon, Republic of Korea
Martin Lukac, Portland State University, Oregon
Jeff Allen, Portland State University, Oregon
Stefan Gebauer, Chemnitz University of Technology, Germany
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.
Citation:
Marek Perkowski, Tsutomu Sasao, Jong-Hwan Kim, Martin Lukac, Jeff Allen, Stefan Gebauer, "Hahoe KAIST Robot Theatre: Learning Rules of Interactive Robot Behavior as a Multiple-Valued Logic Synthesis Problem," ismvl, pp.236-248, 35th International Symposium on Multiple-Valued Logic (ISMVL'05), 2005
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