Kuan Yuee Tan
Papers
1
Total Citations
35
H-Index
1
About
Kuan Yuee Tan is a pioneering researcher at the intersection of assistive robotics and geriatric rehabilitation, whose work addresses the critical challenge of mobility loss in aging populations. Her primary research focuses on developing intelligent robotic systems for gait assistance and fall prevention, with her landmark paper on the "Mobile Robotic Balance Assistant (MRBA)" (2023, 35 citations) introducing a novel overground gait trainer that actively intervenes during balance loss. This work uniquely combines real-time fall detection with robotic stabilization, offering a practical solution for daily living environments. Tan's contributions extend beyond hardware design to include adaptive control algorithms that personalize assistance based on individual gait patterns. Her research has been recognized for bridging the gap between clinical rehabilitation robots and home-use assistive devices, with the MRBA system demonstrating particular promise for frail elderly populations and individuals with neurological conditions. By integrating mobility assistance with fall intervention capabilities, Tan's work represents a significant step toward autonomous robotic companions that can enhance both safety and independence for aging adults.
Research Focus
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Top Papers
- 1