Shun Inoue

Waseda University, Kyushu Institute of Technology

Papers

Total Citations

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About

Shun Inoue is a researcher advancing the frontiers of medical robotics and autonomous systems, with a focus on enhancing precision and operational efficiency. His key research areas include needle deflection detection for CT-guided robotic surgery and contactless power supply solutions for autonomous robots. Inoue’s most notable contribution is the development of a needle deflection detection system for CT-guided robots, addressing the critical challenge of unpredictability during percutaneous punctures—particularly with fine needles in complex procedures like lower abdominal insertions. This work, published in 2020, has garnered 3 citations, highlighting its emerging impact in improving surgical accuracy and patient safety by reducing risks from prolonged CT scan radiation. Additionally, his earlier research on a contact-type positioning-free supplier and charger (2014, 2 citations) tackles the pressing issue of efficient power delivery for future autonomous robots performing household chores and elderly care, proposing a novel method to circumvent the limitations of wired and traditional charging systems. Inoue’s contributions are pivotal in bridging robotics with real-world medical and domestic applications, demonstrating a commitment to solving practical challenges with innovative engineering. His work continues to inspire advancements in robot-assisted surgery and autonomous system sustainability.