Kodai Sato
Papers
3
Total Citations
16
H-Index
3
About
Kodai Sato is a pioneering researcher at the intersection of robotic surgery and bipedal locomotion, whose work spans two distinct but equally impactful fields. In surgical robotics, Sato has developed artificial intelligence deep-learning models that automatically recognize surgical phases during robot-assisted radical prostatectomy, achieving 6 citations for this landmark 2025 study conducted across 18 medical education centers. His complementary work on objective surgical skill assessment, which automatically recognizes dissection and exposure times to evaluate surgeon proficiency, has garnered 5 citations and addresses the critical challenge of creating standardized, automated evaluation systems for robotic surgery training. In robotics engineering, Sato has advanced bipedal robot running by studying human-like actuation timing, demonstrating how fast and slow adaptations can enable more natural, efficient locomotion in human-sized robots. His approach, inspired by passive dynamic mechanisms and human muscle activation patterns, has achieved 5 citations and represents a significant step toward more adaptive, human-like robotic movement. Sato’s dual expertise in surgical AI and biomechanical robotics positions him as a unique contributor to both medical education technology and humanoid robotics development.
Research Focus
Key Achievements
Top Papers
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