Naoki Tomii

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Total Citations

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About

Naoki Tomii is a pioneering researcher at the intersection of robotic surgery, computer vision, and biomechanics, with a primary focus on enabling autonomous soft tissue manipulation. His work addresses one of the most formidable challenges in surgical robotics: modeling and adapting to the complex, non-rigid behavior of living tissues during operations. Tomii’s major contributions include the development of SurgEM, a vision-based framework for constructing a digital twin of the surgical environment. This system allows for real-time analysis of tool-tissue interactions, structural deformation, and biomechanical status monitoring—critical steps toward truly autonomous surgery. His complementary work on "Trans-Window Panoramic Impasto" introduces an innovative method for online tissue deformation recovery, enhancing the robot’s ability to perceive and respond to dynamic changes. Though his most-cited papers are recent (2024), they have already garnered attention, with SurgEM accumulating 7 citations, signaling strong early impact. Tomii’s research is notable for bridging the gap between theoretical modeling and practical surgical application, laying the groundwork for safer, more precise robotic procedures that could revolutionize minimally invasive surgery.