Qingyang Yan
Papers
9
Total Citations
163
H-Index
8
About
Qingyang Yan is a robotics researcher specializing in assistive and rehabilitation technologies, with a particular focus on cane-type walking-aid robots designed to support individuals with lower extremity dysfunction and mobility limitations. His work sits at the intersection of human-robot interaction, motion intent estimation, and intelligent control systems, addressing a critical societal challenge posed by aging populations and the global shortage of caregivers. Yan's most influential contribution — "Human-Following Control of Cane-Type Walking-Aid Robot Within Fixed Relative Posture" (2021, 50 citations) — demonstrates his commitment to developing practical, autonomous solutions for long-duration walking assistance. Across his body of work, he has pioneered data-driven approaches to walking state monitoring, introduced the concept of Human-Robot Coordination Stability for fall prevention, and developed multi-sensor fusion algorithms that allow robots to interpret human motion intent with greater fluency and safety. His 2022 gait analysis system further extends this research into everyday clinical and rehabilitation environments without requiring cumbersome wearable devices. With over 160 total citations and a consistent publication record spanning nearly a decade, Yan has established himself as a meaningful contributor to the intelligent mobile walking-aid field, offering both foundational frameworks and applied innovations that bring assistive robotics closer to real-world deployment.
Research Focus
Key Achievements
Top Papers
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- 3Intelligent Gait Analysis and Evaluation System Based on Cane Robot21 citations · 2022
- 4Intelligent mobile walking-aids: perception, control and safety20 citations · 2019
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- 7Hierarchical Shared Control of Cane-Type Walking-Aid Robot11 citations · 2017
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