Motofumi Hattori
Papers
4
Total Citations
37
H-Index
4
About
Motofumi Hattori’s research lies at the intersection of human-robot interaction, emotion-driven motion generation, and novel robotic mechanisms. His most influential work, “Multi-Modal Interaction of Human and Home Robot in the Context of Room Map Generation” (2002, 22 citations), pioneered approaches for home robots to perceive and map environments through natural, multi-modal communication with humans—a foundational concept for domestic robotics. Hattori also explored how traditional Japanese puppetry (Bunraku) could inform the design of humanoid robots capable of expressive, emotionally fertile movements, analyzing the phase factors of puppet motion axes. In parallel, he contributed to cable-driven parallel manipulators, deriving optimal cable configurations for high-speed, redundant mechanisms. Earlier work on Petri net-based models of human action prediction (1997, 4 citations) laid groundwork for robots that anticipate and assist with household tasks. Hattori’s career uniquely bridges cultural artistry, mechanical design, and artificial intelligence, demonstrating how ancient performance traditions can inspire modern robotics and how predictive, context-aware systems can make home robots truly supportive companions.
Research Focus
Key Achievements
Top Papers
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