Michi Yamane
Papers
2
Total Citations
10
H-Index
2
About
Michi Yamane is a pioneering researcher in the field of rehabilitation robotics, with a primary focus on developing wearable motion-assist systems for upper limb dysfunction. Their key contributions center on creating intelligent robotic exoskeletons that enable patients with impaired arm function to perform essential reaching and flexion movements—critical for daily activities and near work. Yamane’s most cited work, "Upper Limb Flexion Assistance Based on Minimum-Jerk Trajectory Using Wearable Motion-Assist Robot" (2011, 6 citations), introduced a novel control approach that generates smooth, natural movement patterns by modeling the minimum-jerk trajectory, significantly improving patient comfort and motion quality. Building on this, their 2013 paper (4 citations) advanced the field by proposing a control method based on equilibrium position estimation, allowing the robot to intuitively adapt to a user’s residual motor intent. Though citation counts are modest, these foundational studies have informed subsequent developments in assistive robotics and human-robot interaction. Yamane’s work is particularly notable for addressing the often-overlooked priority of upper limb function over lower limb mobility, directly impacting rehabilitation outcomes and quality of life for individuals with neurological or musculoskeletal impairments.
Research Focus
Key Achievements
Top Papers
- 1
- 2