Qiyuan An
Papers
2
Total Citations
3
H-Index
1
About
Qiyuan An is a researcher at the intersection of assistive robotics and autonomous navigation, with a focus on developing intelligent systems that enhance human–robot interaction. Their work addresses critical challenges in both indoor robotic perception and cognitive health assessment. In a 2023 study, An proposed a novel method for learning indoors free-space segmentation for mobile robots using only positive instances—an approach that leverages large depth values to identify navigable regions, offering a robust solution for dynamic indoor environments. More recently, in 2024, An introduced an innovative assistive robotic system designed to assess the cognitive state of individuals with spinal cord injury (SCI). This system integrates physiological sensors (ECG, EEG, EDA) with facial expression analysis to monitor cognitive load during daily activities, marking a significant step toward personalized, real-time cognitive support for people with motor impairments. With early citations already accruing, An’s work is gaining recognition for its practical impact on both autonomous navigation and assistive healthcare technologies.
Research Focus
Key Achievements
Top Papers
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