Papers
29
Total Citations
185
H-Index
7
About
Aihui Wang is a robotics and biomedical engineering researcher whose work bridges human biomechanics and intelligent robotic control systems. Specializing in rehabilitation robotics, musculoskeletal modeling, and bio-inspired control, Wang has made significant contributions to improving the lives of patients with lower limb and central nervous system disorders. A defining thread throughout their career is the translation of human movement data — including gait patterns and arm viscoelasticity — into practical control frameworks for exoskeleton and manipulator systems. Their 2021 work on adaptive PD-like control for lower limb rehabilitation robots (27 citations) and musculoskeletal-based humanoid robot control (20 citations) demonstrate a commitment to patient-centered engineering solutions. Wang's more recent research has expanded into micro/nano-robotics, with a 2024 study on corkscrew motion modeling in helical microrobots (24 citations) pointing toward future minimally invasive medical applications. Earlier foundational work on operator-based robust nonlinear control and human arm viscoelastic modeling reveals a career built on rigorous theoretical grounding. Wang's growing citation record across rehabilitation robotics, deep learning-driven gait prediction, and biomedical microrobotics reflects an evolving and impactful research portfolio.
Research Focus
Key Achievements
Top Papers
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- 5Human-Gait-Based Tracking Control for Lower Limb Exoskeleton Robot11 citations · 2022
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- 7Gait Prediction for Rehabilitation Robots Based on Deep Learning7 citations · 2022
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