Papers

1

Total Citations

3

H-Index

1

About

Xuliang Liu is a researcher in the field of rehabilitation robotics and assistive exoskeleton technology, with a primary focus on developing intelligent control strategies for active lower-limb devices. His most cited work, "A Real-Time Assistance Control Strategy for Active Knee Exoskeleton" (2021), has garnered 3 citations, reflecting his early yet targeted contributions to human-robot interaction. In this paper, Liu proposes a novel control framework that enables an active knee exoskeleton to adapt its assistance in real time, enhancing user comfort and gait efficiency during rehabilitation or mobility support. This work addresses a critical challenge in wearable robotics: balancing precise mechanical support with natural, intuitive movement. While his citation count is modest, Liu’s research is positioned at the intersection of biomechanics, control theory, and human-centered design, aiming to improve quality of life for individuals with lower-limb impairments. His approach emphasizes practical, real-world applicability, making his findings valuable for engineers and clinicians developing next-generation assistive devices. As an emerging scholar, Liu’s contributions lay groundwork for more adaptive and responsive exoskeleton systems, promising to advance both rehabilitation outcomes and assistive technology accessibility.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Real-Time Assistance Control Strategy for Active Knee Exoskeleton
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Beijing Jingshida Electromechanical Equipment Research Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago