Yuji Iwahori

Papers

Total Citations

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About

Dr. Yuji Iwahori is a leading figure in medical robotics and assistive technology, whose work bridges computer vision, deep learning, and human-robot interaction. His most influential research introduces **Semantic SLAM Based on Deep Learning in Endocavity Environment** (2022, 18 citations), a groundbreaking approach that applies simultaneous localization and mapping (SLAM) to endoscopic surgery. By integrating semantic understanding with deep learning, this work addresses the critical challenge of restricted field-of-view in traditional laparoscopy, enabling more precise, robot-assisted navigation within the body’s cavities—a vital step toward safer, minimally invasive procedures. Dr. Iwahori’s impact extends to assistive robotics, as seen in his **Design and Implementation on Multi-Function Smart Wheelchair** (2023, 5 citations), which tackles mobility loss due to aging and injury. This smart wheelchair acts as a mobile service robot, emphasizing smooth motion control and user-friendly interfaces to enhance environmental adaptability and quality of life. Through these contributions, Dr. Iwahori demonstrates a rare ability to translate complex AI and robotics into practical, life-changing medical and assistive devices, earning recognition for advancing both surgical precision and inclusive mobility solutions.