Papers

6

Total Citations

31

H-Index

3

About

T. Katayama is a robotics researcher whose work spans biomimetic locomotion systems, reinforcement learning for autonomous robots, and medical simulation technology. Best known for pioneering the TITRUS series of dinosaur-inspired walking robots, Katayama's most influential contribution — garnering 14 citations — demonstrated how strategically designed neck and tail appendages could dramatically enhance dynamic stability and mobility in quadrupedal platforms, offering a compelling biological framework for practical mobile working systems. This work, developed across multiple publications between 2002 and 2004, systematically explored mechanism design, dynamic modeling, and motion generation in miniature prototypes, establishing TITRUS as a notable case study in biologically-inspired robotics engineering. Beyond biomimetic systems, Katayama contributed to machine learning by proposing an architecture that accelerates reinforcement learning in mobile robots through generalized rule acquisition, directly addressing the computational bottleneck of learning time explosion — a persistent challenge in autonomous systems research. More recently, Katayama demonstrated notable breadth by pivoting toward medical robotics, developing an interactive neonatal cardiopulmonary resuscitation training simulator, reflecting a commitment to applying robotic systems where practical human impact matters most. Across these domains, Katayama's body of work reflects a consistently applied, engineering-driven approach to robotics research.

Research Focus

Key Achievements

3
H-Index
6
Papers
31
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
The efficacy of the neck and tail of miniature dinosaur-like robot TITRUS-III
14 citations · 2003
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Tokyo Institute of Technology, The University of Tokyo, Riso Kagaku (Japan)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago