Ryusei Yamamoto

Konan University

Papers

2

Total Citations

7

H-Index

2

About

Ryusei Yamamoto is a researcher whose work bridges surgical innovation and robotics, with a focus on tangible navigation and autonomous system integration. In his most-cited paper, "Benefit of three-dimensional printing in robotic laparoscopic renal surgery: Tangible surgical navigation using a patient-based three-dimensional printed kidney" (2014, 5 citations), Yamamoto pioneered the use of patient-specific 3D-printed models to enhance surgical precision in robotic renal procedures. This contribution offers surgeons a physical, tactile reference during complex operations, improving outcomes and reducing risks. More recently, Yamamoto has advanced mobile robotics, as demonstrated in his 2023 study on "Simplified System Integration of Robust Mobile Robot for Initial Pose Estimation for the Nakanoshima Robot Challenge." Here, he tackled the critical challenge of initial localization, developing a streamlined approach to enhance robot operability from the very start of its journey. By solving pose estimation issues during experimental runs, his work enables more reliable autonomous navigation in real-world environments. Though his citation counts are modest, Yamamoto’s dual impact—improving surgical navigation through 3D printing and refining mobile robot initialization—showcases a versatile engineering mind. His achievements highlight a commitment to practical, user-centered solutions that directly benefit both medical professionals and roboticists.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
1124 Benefit of three-dimensional printing in robotic laparoscopic renal surgery: Tangible surgical navigation using a patient-based three-dimensional printed kidney
5 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Konan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago