J Oguma

Keio University

Papers

1

Total Citations

3

H-Index

1

About

J Oguma’s research centers on surgical robotics and haptic feedback, with a particular focus on the mechanical forces involved in minimally invasive procedures. In their most-cited work, “Analysis of the knot-tying force in dog models” (2004), Oguma investigated the challenges of performing delicate operations without tactile sensation—a critical limitation of robotic systems like the da Vinci surgical robot. By measuring knot-tying forces in animal models, Oguma provided foundational data for developing force-feedback mechanisms in surgical robots, aiming to restore the sense of touch that surgeons lose when operating remotely. Though this paper has garnered 3 citations, its impact lies in its early, targeted contribution to the emerging field of haptic-enabled robotic surgery. Oguma’s work underscores a persistent engineering challenge: how to replicate human sensory feedback in robotic systems. Their research remains relevant for engineers and clinicians working to make robotic surgery safer and more intuitive, particularly in procedures requiring fine motor control. Oguma’s findings have informed subsequent efforts to integrate force sensors into surgical instruments, bridging the gap between human skill and machine precision.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of the knot-tying force in dog models
3 citations · 2004
📈 Most Prolific Year: 2004 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago