Hahoe KAIST Robot Theatre: Learning Rules of Interactive Robot Behavior as a Multiple-Valued Logic Synthesis Problem

摘要

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.