Shihe Liu

Yanshan University

Papers

1

Total Citations

15

H-Index

1

About

Shihe Liu is a leading figure in rehabilitation robotics, with a focused expertise in the design and control of lower limb assistive devices. His research addresses a critical gap in the field: the inability of most rehabilitation robots to perform adduction/abduction (A/A) training of the hip joint, a motion essential for natural gait and recovery. In his most-cited work, "A 4-DOF Workspace Lower Limb Rehabilitation Robot: Mechanism Design, Human Joint Analysis and Trajectory Planning" (2020, 15 citations), Liu introduced a novel four-degree-of-freedom spatial robot that enables this missing motion. The paper’s impact is amplified by its holistic approach, integrating human joint analysis with trajectory planning to ensure patient safety and comfort. This contribution has positioned Liu as a key innovator in creating more functional, patient-centered rehabilitation systems. By moving beyond simple flexion/extension, his work offers a pathway to more effective, naturalistic therapy for individuals recovering from stroke or spinal cord injury, promising to improve both clinical outcomes and quality of life.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A 4-DOF Workspace Lower Limb Rehabilitation Robot: Mechanism Design, Human Joint Analysis and Trajectory Planning
15 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Yanshan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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