Papers
2
Total Citations
47
H-Index
2
About
Fei Shi is a leading researcher in assistive robotics, with a primary focus on developing intelligent walking assistant systems for the elderly and mobility-impaired individuals. Their major contributions center on human-machine interaction and force-sensing control technologies for robotic walkers. Shi's seminal 2010 paper on the "Walkmate" system (40 citations) pioneered a force sensing-controlled human-machine interface that creates a natural negative feedback loop for motion control, allowing intuitive and safe user interaction with robotic walking aids. This work established a foundational approach to how force sensors embedded in handlebars can interpret user intent and provide responsive assistance. In their 2011 study (7 citations), Shi advanced the field by systematically comparing three generations of Walking Assistant Robots (WARs), detailing their mechanical structures and control systems, with particular emphasis on the prototype III's force-sensing modules. Through this comparative analysis, Shi demonstrated how iterative design improvements in force sensor integration and control algorithms enhance stability and usability. Their research has significantly influenced the development of intelligent mobility aids, bridging the gap between human biomechanics and robotic assistance systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Development of Walking Assistant Robot for the Elderly7 citations · 2011