Kuan Yang

Papers

Total Citations

H-Index

About

Kuan Yang’s research focuses on wearable robotics and human locomotion assistance, with a particular emphasis on reducing metabolic energy expenditure during loaded walking. Their most-cited work introduces a novel wearable ankle assistance robot that integrates an active energy storage mechanism with a gait cycle prediction method, enabling adaptive support for individuals carrying varying loads. By strategically placing a motor, clutch, and elastic rods, Yang’s design achieves efficient, lightweight assistance that responds dynamically to human gait. This contribution addresses a critical gap in assistive robotics—adapting to real-world, variable load conditions—and has garnered early recognition with 5 citations. Yang’s work holds promise for applications in military, industrial, and rehabilitation settings, where prolonged loaded walking is common. Their innovative approach to combining mechanical design with predictive control marks a significant step toward practical, energy-saving wearable robots. As a rising researcher, Kuan Yang is shaping the future of human-robot interaction in mobility assistance.