Xiaowei Luan
Papers
1
Total Citations
4
H-Index
1
About
Xiaowei Luan is a researcher specializing in rehabilitation robotics and human-machine kinematic compatibility, with a particular focus on upper limb assistive technologies. Their most cited work, "Glenohumeral joint trajectory tracking for improving the shoulder compliance of the upper limb rehabilitation robot" (2023, 4 citations), introduces a novel method for real-time bone motion capture that significantly enhances the natural interaction between patients and robotic exoskeletons. By developing a real-time model to fit glenohumeral joint bone motion trajectories, Luan achieved a critical mapping between the joint’s surface motion and underlying bony movement—a breakthrough that improves shoulder compliance and reduces kinematic mismatch during therapy. This work directly addresses a key challenge in rehabilitation robotics: ensuring that robotic assistance aligns with the complex, multi-axis motion of the human shoulder. Though early in their career, Luan’s contributions are already recognized for advancing human-machine kinesthetic synergy, laying groundwork for more adaptive, patient-responsive rehabilitation devices that could improve recovery outcomes for individuals with upper limb impairments.
Research Focus
Key Achievements
Top Papers
- 1