Takenori Hara

Papers

Total Citations

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About

Takenori Hara is a pioneering researcher in human-robot interaction, with a focused expertise in gesture generation for humanoid robots and therapeutic robotics. His most-cited work, "Generation of Gestures During Presentation for Humanoid Robots" (2018, 13 citations), demonstrates how body language—specifically gestures expressing enthusiasm and intention—can significantly enhance information transmission during robotic presentations, directly impacting audience impression and presentation success. This foundational study bridges robotics and communication science, establishing design principles for more expressive and effective robotic performers. Hara further expanded his impact through "Development and Evaluation of an Interactive Therapy Robot" (2018, 7 citations), where he explored robots as therapeutic tools, contributing to the growing field of socially assistive robotics. His work is notable for its practical orientation: rather than merely theorizing, Hara develops and evaluates real robotic systems, making his findings directly applicable to education, entertainment, and healthcare. With a career centered on making robots more communicative and socially capable, Hara’s research continues to influence how robots can better understand and replicate human nonverbal cues, paving the way for more natural and effective human-robot collaboration.