Hiroki Yokota

Papers

Total Citations

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About

Hiroki Yokota is a biomedical engineer whose research focuses on advancing surgical robotics and haptic feedback systems for minimally invasive neurosurgery. His most-cited work, "Method for the Detection of Tumor Blood Vessels in Neurosurgery Using a Gripping Force Feedback System" (2019, 2 citations), addresses a critical challenge in neuroendoscopic procedures: the inability to visually confirm blood vessel locations within tumors, which can lead to unintentional vessel damage and dangerous bleeding in narrow operating spaces. Yokota’s major contribution lies in developing a gripping force feedback system that enables surgeons to detect hidden blood vessels through tactile cues, thereby enhancing safety and precision during tumor resection. While his citation count is modest, this work represents a foundational step toward integrating haptic technology into neurosurgical tools, with potential to reduce intraoperative risks. His research sits at the intersection of robotics, sensor design, and clinical neurosurgery, aiming to improve outcomes in complex procedures where visual feedback alone is insufficient. Yokota’s work is particularly notable for its translational focus, bridging engineering innovation with real-world surgical challenges.