Minghuan Yin
Papers
2
Total Citations
11
H-Index
2
About
Minghuan Yin is a rising researcher at the intersection of medical robotics and assistive technology, with a focus on developing intelligent systems for healthcare and elderly care. Their work centers on two key areas: optimizing surgical robot control and enhancing human-robot interaction in caregiving settings. In their most-cited paper (9 citations, 2023), Yin introduced an improved sparrow search algorithm to enhance the repositioning accuracy of fracture reduction robots, directly addressing critical safety concerns in orthopedic surgery. This work demonstrates a novel application of swarm intelligence to minimize surgical error. More recently (2024), Yin has advanced deep learning-based semantic segmentation for bath scrubbing robots, tackling the pressing challenge of recognizing human features to support semidisabled elderly individuals amid nursing staff shortages. Though early in their career, Yin’s research shows clear translational potential, bridging algorithm innovation with real-world medical and assistive applications. Their contributions are particularly timely given global aging demographics, positioning Yin as a promising voice in the development of safer, more responsive robotic systems for vulnerable populations.
Research Focus
Key Achievements
Top Papers
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