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About

Naoyuki Shono is a leading researcher in robotic neurosurgery, specializing in the development of intelligent, minimally invasive systems for operating in the deep and narrow spaces of the brain. His major contributions center on enhancing surgical precision and safety through advanced robotic control and novel continuum robot designs. Shono pioneered a wire-driven, multi-section continuum robot capable of "follow-the-leader" motion, specifically designed for combined endoscopic third ventriculostomy and tumor biopsy—a breakthrough that minimizes trauma to delicate cerebral tissue (70 citations). To address the critical risk of unintended collisions during deep-brain procedures, he developed autonomous collision avoidance algorithms and virtual fixture-based feedback methods, enabling surgeons to navigate complex anatomical pathways with greater confidence. His work on dynamic motion scaling for the MM-3 neurosurgical robot further refines master-slave control, automatically adjusting precision to match the demands of each surgical phase. With a cumulative impact of over 100 citations, Shono’s research is foundational for the next generation of intelligent, safe, and highly dexterous neurosurgical robotic systems.