Kosuke Inoue

The University of Tokyo, Kagawa University

Papers

Total Citations

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About

Kosuke Inoue is a researcher whose work spans agricultural robotics and medical imaging, with a primary focus on autonomous navigation systems and radiological diagnostics. His most impactful contribution, the 2019 study "The development of autonomous navigation and obstacle avoidance for a robotic mower using machine vision technique," has garnered 55 citations, highlighting its significance in advancing labor-saving agricultural technologies. In this work, Inoue pioneered the integration of machine vision with GNSS-based positioning to enable autonomous mowing and real-time obstacle detection, addressing critical challenges in precision agriculture. His research demonstrates how computer vision can enhance the safety and efficiency of autonomous farm machinery, offering practical solutions for reducing manual labor in farming. In a notable departure from his primary focus, Inoue also contributed to medical radiology with a 2021 case study on 6p.21 translocation renal cell carcinoma in elderly patients, describing its imaging characteristics that mimic fat-poor angiomyolipoma or papillary renal cell carcinoma. Though less cited, this work showcases his versatility in applying analytical skills to diagnostic challenges. Inoue's career reflects a commitment to solving real-world problems through interdisciplinary innovation, from field robotics to clinical radiology.