Tetsunari Inamura

National Institute of Informatics, The University of Tokyo

Papers

Total Citations

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About

Tetsunari Inamura is a pioneering researcher in social robotics, human-robot interaction, and cognitive systems, whose work bridges the gap between computational simulation and real-world robotic applications. He is perhaps best known for developing SIGVerse, a cloud computing architecture simulation platform specifically designed for social human-robot interaction. Published in 2012 and accumulating 25 citations, this influential contribution introduced a sophisticated four-component framework — including SIGServer and Agent Controller modules — that provided researchers worldwide with a powerful tool for studying and simulating complex social behaviors between humans and robots in virtual environments. Beyond simulation infrastructure, Inamura has made meaningful contributions to humanoid robotics through his work on learning interfaces from observed human behavior. His 2014 research demonstrated an innovative method for extracting task-relevant degrees of freedom from human movements, enabling more intuitive and efficient control of high-dimensional humanoid systems. Earlier foundational work from 2005 explored statistical models of embodied symbol emergence, reflecting his longstanding interest in how robots might develop symbolic understanding through physical interaction. Across his career, Inamura's research consistently pursues a deeper integration of human cognition and robotic systems, making him a significant contributor to the next generation of socially intelligent machines.