Kebin Yuan
Papers
8
Total Citations
317
H-Index
6
About
Kebin Yuan is a prominent researcher in the field of robotic prosthetics and wearable robotics, with a particular focus on active transtibial prostheses and intelligent locomotion control systems. His work addresses one of rehabilitation engineering's most pressing challenges: developing lightweight, adaptive prosthetic limbs that genuinely replicate natural human movement. Yuan's most influential contributions include the development of fuzzy-logic-based terrain identification systems that enable prostheses to seamlessly adapt to varying environments — a breakthrough reflected in his two most-cited papers accumulating over 186 citations combined. His 2015 paper "Walk the Walk" garnered 95 citations for advancing lightweight active prosthesis design, while his multisensor fusion approach to terrain recognition demonstrated remarkable practical innovation. Beyond hardware, Yuan has made significant strides in energy-efficient torque control strategies that exploit the passive dynamics of human locomotion, reducing power consumption without sacrificing performance. His 2017 work on real-time hybrid locomotion mode recognition further extended his impact into broader wearable robotics, proposing solutions that overcome the limitations of subject-specific training and electromyographic interfaces. With a body of work spanning hierarchical control architectures, finite-state controllers, and stair-transition algorithms, Yuan's research collectively advances the goal of giving amputees truly seamless, intelligent mobility solutions.
Research Focus
Key Achievements
Top Papers
- 1Walk the Walk: A Lightweight Active Transtibial Prosthesis95 citations · 2015
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- 3Real-Time Hybrid Locomotion Mode Recognition for Lower Limb Wearable Robots75 citations · 2017
- 4Energy-Efficient Braking Torque Control of Robotic Transtibial Prosthesis32 citations · 2016
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