Tokyo University of Technology

🇯🇵 JP

Papers

161

Total Citations

2,980

H-Index

25

Researchers

113

About

Tokyo University of Technology has established itself as a remarkably versatile research institution, spanning foundational robotics theory, intelligent human-robot interaction, assistive technologies, and advanced control systems. With research roots extending back to seminal work in the early 1990s, the institution's groundbreaking 1992 paper on biped walking control — now cited over 360 times — laid important theoretical groundwork for energy-efficient locomotion that continues to influence legged robotics to this day. A particularly distinctive strength lies in the institution's sophisticated approach to human-robot interaction (HRI), where researchers have developed innovative machine learning architectures — including deep sparse autoencoders, fuzzy support vector regression models, and multi-layer random forests — to enable robots to recognize and respond to human facial expressions and emotional states in real time. This work has direct applications in service robotics for aging societies, a pressing challenge that Tokyo University of Technology has explicitly addressed through its research on home-assistant robots and museum guide systems. Their museum robot projects, informed by ethnographic analysis and techno-sociological methods, demonstrate a rare interdisciplinary commitment to deploying robots meaningfully in public spaces. Beyond HRI, the institution has made notable contributions to underactuated robotic control, mobile robot navigation, spherical ultrasonic motor design, robot odor-source localization, and dual-quaternion-based robot modeling through the widely adopted DQ Robotics library. Their exploration of bio-hybrid systems, including electrically stimulated tissue-engineered muscles, signals exciting directions in soft robotics and bioactuation. For prospective students and collaborators, Tokyo University of Technology offers a uniquely broad yet deeply interconnected research ecosystem — one that balances rigorous mathematical foundations with human-centered design and real-world deployment.

Research Focus

Key Achievements

25
H-Index
161
Papers
2,980
Total Citations
113
Faculty & Researchers
🏆 Most Cited Paper
Dynamic walking control of a biped robot along a potential energy conserving orbit
366 citations · 1992
📊 Avg Citations/Paper: 19
📈 Most Prolific Year: 2021 (14)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Control (management), Control theory (sociology)

Top Papers

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    Revealing Gauguin
    81 citations · 2009
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Faculty & Researchers

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