Papers
6
Total Citations
64
H-Index
4
About
Moyao Gao is a robotics researcher specializing in rehabilitation exoskeletons, with a focus on restoring mobility for individuals with lower and upper limb impairments. Their work bridges anthropomorphic design and intelligent control, aiming to create human-robot symbiotic systems that feel natural and responsive. Gao’s most cited paper, “Electrically Driven Lower Limb Exoskeleton Rehabilitation Robot Based on Anthropomorphic Design” (2022, 48 citations), proposes a robot that mimics human joint motion to help patients regain standing and walking abilities. They extend this work with innovative control strategies, such as the iterative learning method using RBF neural networks (2025, 4 citations), which addresses gait irregularities in exoskeleton-assisted walking. For upper limb rehabilitation, Gao designed a 6-DoF robot for stroke patients in middle and late recovery stages (2022, 5 citations), emphasizing compatibility with human anatomy. Their portfolio also includes a knee exoskeleton based on human physiology (2022, 2 citations) and a rope-driven hip joint mechanism (2025, 1 citation). By combining mechanical design with adaptive control, Gao’s research directly addresses the growing need for intelligent assistive devices in aging societies, offering practical solutions for stroke rehabilitation and mobility restoration.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design and Analysis of 6-DoFs Upper Limb Assistant Rehabilitation Robot5 citations · 2022
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- 5Design of Knee Exoskeleton Robot Based on Human Physiology2 citations · 2022
- 6Design And Analysis of A Rope-Driven Hip Joint Rehabilitation Mechanism1 citations · 2025