Chenglei Liu

Hebei University of Technology

Papers

8

Total Citations

73

H-Index

4

About

Chenglei Liu is a mechanical engineering researcher specializing in the design, kinematics, and optimization of parallel mechanisms for medical rehabilitation robotics, with a particular focus on ankle rehabilitation systems. Liu's work addresses a critical challenge in rehabilitation engineering: ensuring that robotic devices accurately replicate the complex, anatomically realistic motion of the human ankle joint to maximize therapeutic effectiveness and human-machine compatibility. Among Liu's most significant contributions is the development of generalized spherical parallel mechanisms — including both 3-DOF and 4-DOF configurations — that align closely with the anatomical structure of the ankle, incorporating virtual motion centers to improve biomechanical fidelity. These innovations, detailed in multiple peer-reviewed publications beginning in 2021, have collectively accumulated over 70 citations, reflecting growing recognition within the rehabilitation robotics community. Liu has also pioneered novel evaluation indices and dimensional synthesis methods for optimizing mechanism parameters based on real ankle-foot motion trajectories, offering practical tools for improving robot design workflows. By bridging mechanism theory, screw theory-based kinematic analysis, and clinical anatomy, Liu's research represents a meaningful advance in the field of assistive robotics. This body of work is particularly valuable for students and researchers seeking rigorous, application-driven approaches to parallel mechanism design for medical devices.

Research Focus

Key Achievements

4
H-Index
8
Papers
73
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Module combination based configuration synthesis and kinematic analysis of generalized spherical parallel mechanism for ankle rehabilitation
29 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Hebei University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago