Tokyo University of Science

🇯🇵 JP

Papers

494

Total Citations

9,487

H-Index

43

Researchers

424

About

Tokyo University of Science (TUS) stands as one of Japan's premier research institutions in robotics, intelligent systems, and human-robot interaction, with a legacy of pioneering contributions that have fundamentally shaped modern robotics. The university's research identity is built upon decades of groundbreaking work in reconfigurable and modular robotics, most notably through the development of the Cellular Robot (CEBOT) system — a self-organizing, dynamically reconfigurable robotic architecture whose conceptual foundations, first articulated in the late 1980s, continue to influence next-generation robotics design worldwide. The institution has accumulated substantial citation impact across this body of work, with flagship papers garnering hundreds of citations and establishing TUS as a global authority in adaptive robotic systems. TUS researchers have made lasting contributions across a remarkably diverse portfolio. Their work on biped humanoid robot motion generation and the "Learning from Observation" paradigm advanced robot imitation learning in ways that remain highly referenced in the field. Research on expressive social robotics — exemplified by the face robot SAYA — placed TUS at the forefront of human-robot communication and affective computing. Meanwhile, innovations in distributed intelligent sensor networks, person-following robots, and variable structure sliding-mode control for manipulators demonstrate the institution's deep strength across both theoretical and applied robotics. More recently, TUS researchers have contributed to the rapidly growing field of humanoid teleoperation, with a comprehensive 2023 survey accumulating over 230 citations in just two years. Beyond robotics, interdisciplinary strengths extend into bio-inspired sensing, soft actuators, and genomics. For prospective students and collaborators, TUS offers a uniquely rich environment where foundational robotics theory meets cutting-edge application, underpinned by a culture of innovation spanning more than three decades.

Research Focus

Key Achievements

43
H-Index
494
Papers
9,487
Total Citations
424
Faculty & Researchers
🏆 Most Cited Paper
FANTOM5 CAGE profiles of human and mouse samples
361 citations · 2017
📊 Avg Citations/Paper: 19
📈 Most Prolific Year: 2002 (55)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Mobile robot, Computer vision

Top Papers

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Faculty & Researchers

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