Wanlu Xu
Papers
1
Total Citations
32
H-Index
1
About
Wanlu Xu is a leading researcher in the field of rehabilitation robotics and human–machine interaction, with a focus on adaptive control systems for lower-limb wearable robots. Their most-cited work, "An adaptive framework of real-time continuous gait phase variable estimation for lower-limb wearable robots" (2021, 32 citations), introduces a novel approach that enables wearable robots to seamlessly adapt to a user’s natural gait in real time. This contribution addresses a critical challenge in assistive robotics: the need for continuous, accurate estimation of gait phases without relying on predefined patterns. By developing a framework that dynamically adjusts to individual walking styles, Xu’s research has laid the groundwork for more intuitive and responsive exoskeletons and prosthetics, directly improving mobility for individuals with lower-limb impairments. The work’s citation count reflects its growing influence in the field, serving as a key reference for subsequent studies on adaptive control and sensor fusion. Xu’s achievements highlight a commitment to bridging robotics and clinical application, making their research essential reading for students and engineers aiming to advance human-centered wearable technologies.
Research Focus
Key Achievements
Top Papers
- 1