Kodai Nanri
Papers
2
Total Citations
16
H-Index
2
About
Kodai Nanri is a leading researcher in surgical robotics, with a specific focus on advancing neurosurgery through robotic assistance. His work centers on the critical challenge of performing precise, dexterous manipulations within the deep, narrow spaces of the brain—environments where the risk of unintended collisions between instrument shafts and delicate neural tissue is high. Nanri’s major contributions include developing novel feedback methods that use virtual fixtures for collision avoidance, a concept detailed in his most-cited paper (13 citations), which enhances the safety and control of robot-assisted procedures. He has also pioneered the design of miniature neurosurgical robotic systems equipped with multi-degree-of-freedom forceps, enabling surgeons to perform complex tasks in confined intracranial spaces that would be difficult or impossible with conventional tools. By addressing the limitations of earlier master-slave robots, Nanri’s work directly improves the feasibility and precision of minimally invasive brain surgery. His research represents a significant step toward making robotic neurosurgery safer and more effective, with the potential to expand treatment options for patients requiring delicate interventions in the deepest regions of the brain.
Research Focus
Key Achievements
Top Papers
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