Ryusuke Mikata
Papers
6
Total Citations
91
H-Index
5
About
Ryusuke Mikata is a leading researcher in human-robot interaction, specializing in the generation and evaluation of non-verbal behaviors for android robots. His work focuses on creating more natural, human-like communication by analyzing and replicating complex gestures, emotional expressions, and social cues. Mikata’s most impactful contribution is a speech-driven hand gesture generation method, detailed in his 2018 paper with 60 citations, which uses dialogue act analysis and clustering to enable robots to produce appropriate, synchronized gestures during conversation. He has also pioneered studies on person-directed pointing gestures, revealing their role in conveying politeness and friendliness, and on body gestures in anger expression, showing how negative emotions can foster affiliation. His research extends to online processing for real-time gesture generation and the impression of speaker individuality, with several papers published in Advanced Robotics and presented at IEEE conferences. By bridging the gap between human-human dialogue analysis and android robot design, Mikata’s work is foundational for developing socially adept robots capable of nuanced, engaging interaction.
Research Focus
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Top Papers
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