Masafumi Hagiwara

Papers

Total Citations

H-Index

About

Masafumi Hagiwara is a pioneering researcher at the intersection of robotics, artificial intelligence, and computational creativity. His work spans three key areas: human-robot interaction, emotion-aware motion generation, and neuro-symbolic AI. Hagiwara’s most notable contribution is the development of an automatic robot *manzai* (comic dialogue) generation system, which converts narrative text into a script of *boke* (silly jokes) and *tsukkomi* (sharp comebacks), performed by two humanoid robots. This work, cited 4 times, is a landmark in computational humor and social robotics. He also created a motion-generating system that enables humanoid robots to express emotions by transforming reference motions into emotionally nuanced gestures (3 citations). Most recently, Hagiwara has advanced neuro-symbolic AI by proposing a context-dependent system that uses self-supervised learning with large language models (2 citations), bridging the gap between symbolic reasoning and deep learning. His work demonstrates a unique ability to combine technical rigor with playful, human-centered applications, making him a distinctive voice in AI and robotics.