Masafumi Kouda
Papers
1
Total Citations
3
H-Index
1
About
Masafumi Kouda is a researcher whose work sits at the intersection of robotics, rehabilitation engineering, and human-computer interaction. His key research area focuses on developing intelligent robotic systems that can provide precise, real-time guidance for physical therapy and rehabilitation exercises. Kouda’s major contribution lies in his pioneering approach to motion instruction, particularly through the use of augmented reality and instructor CG models overlaid onto rehabilitation robots. This method allows patients to receive clear, corrective visual feedback during stretching exercises, significantly enhancing the effectiveness of autonomous rehabilitation instruction. His most-cited paper, "Correct Motion Advice on Rehabilitation Instruction Robot by Superimposing Instructor CG Model" (2012, 3 citations), introduces a novel framework for advising correct motion, addressing a critical need for people to maintain and recover physical functions in daily life. While his citation count is modest, Kouda’s work is notable for its practical, human-centered design—bridging the gap between robotic precision and patient-friendly instruction. His research holds promise for accessible, home-based rehabilitation technologies, making him a thoughtful contributor to assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1