Papers

16

Total Citations

168

H-Index

8

About

Yoshikazu Nakajima is a pioneering robotics researcher whose work sits at the intersection of medical robotics, soft robotics, and orthopedic surgical assistance. Over more than two decades, he has made significant contributions to the development of intelligent robotic systems designed to enhance precision, safety, and outcomes in clinical and rehabilitation settings. Nakajima is perhaps best known for his groundbreaking work on robot-assisted fracture reduction, culminating in the FRAC-Robo system — a robotic platform designed to achieve anatomical reduction of femoral fractures while logging procedural data (32 citations). Complementing this, he has addressed critical safety challenges in surgical robotics through formal hazard analysis frameworks and adaptive milling systems for total knee arthroplasty. More recently, Nakajima has pioneered the application of physical reservoir computing to soft robotic systems, demonstrating that the air dynamics within pneumatic exosuits can serve as both sensor and computational medium — a genuinely novel paradigm enabling wearable gait assistance without conventional electronics (27 citations). His work on needle insertion robots for vertebroplasty and body-mounted spinal puncture assistants further underscores his sustained commitment to minimally invasive surgical innovation. With contributions spanning bipedal locomotion to pneumatic wearables, Nakajima represents a uniquely broad and enduring voice in medical and rehabilitation robotics research.

Research Focus

Key Achievements

8
H-Index
16
Papers
168
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted femoral fracture reduction: Preliminary study in patients and healthy volunteers
32 citations · 2008
📈 Most Prolific Year: 2008 (6 Papers)
🤝 Key Collaborators: 60
🏛 Institutions: The University of Tokyo, Tokyo Medical and Dental University, Yokohama National University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago