Papers

5

Total Citations

70

H-Index

4

About

Daijo Hashimoto is a pioneering researcher in surgical robotics, whose work has focused on developing autonomous systems to address critical healthcare workforce challenges. He is best known for his sustained contributions to the Scrub Nurse Robot (SNR) project, an innovative series of robotic systems designed to replicate the role of a skilled scrub nurse in endoscopic and laparoscopic surgical settings. Motivated by the chronic shortage of scrub nurses in large hospitals across developed nations, Hashimoto and his team engineered successive generations of the SNR system capable of anticipating a surgeon's instrument needs and delivering tools without verbal prompting. His research spans prototype development, iterative system refinement, and the creation of automatic acquisition systems for surgical instrument information — each advancing the robot's practical functionality and clinical viability. His most cited work, the 2007 paper detailing the second-generation SNR (31 citations), reflects meaningful recognition from the surgical robotics community. Across five key publications accumulating 70 total citations, Hashimoto has demonstrated a consistent commitment to solving real-world operating room challenges through intelligent automation, making his body of work highly relevant to researchers working at the intersection of medical robotics, human-robot interaction, and surgical workflow optimization.

Research Focus

Key Achievements

4
H-Index
5
Papers
70
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Development and evaluation of the second version of scrub nurse robot (SNR) for endoscopic and laparoscopic surgery
31 citations · 2007
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Saitama Medical University, Social Insurance Saitama Chuo Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago