Takayoshi Takei

Keio University

Papers

3

Total Citations

18

H-Index

3

About

Takayoshi Takei is a researcher whose work lies at the intersection of robotics, haptics, and surgical assistance, with a particular focus on improving the precision and safety of minimally invasive surgery (MIS). His major contributions center on the dynamic estimation of environmental impedance and stiffness through bilateral control systems—a technique critical for enabling surgical robots to "feel" and adapt to tissue conditions in real time. In his most cited work (2009, 8 citations), Takei proposed a method to numerically preserve environmental impedance, establishing reference values that could standardize surgical conditions. Complementing this, his 2008 paper on gravity compensation (6 citations) introduced a novel approach to estimating and canceling gravitational disturbances without requiring knowledge of the system’s posture, significantly enhancing the operability of teleoperation systems. These contributions, though modest in citation count, are foundational in the niche field of haptic feedback for robotic surgery, where precision and reliability are paramount. Takei’s work demonstrates a clear trajectory from theoretical estimation to practical compensation, making him a notable figure in the advancement of intelligent, force-sensitive surgical robots.

Research Focus

Key Achievements

3
H-Index
3
Papers
18
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Estimation of Environmental Stiffness by Bilateral Control
8 citations · 2009
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Keio University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago