Papers
1
Total Citations
28
H-Index
1
About
Haiyuan Liu’s research lies at the intersection of human-robot interaction, assistive robotics, and locomotion intent prediction. His major contributions focus on enhancing the autonomy of assistive walking devices by predicting human movement intent in challenging, unstructured environments. In his highly cited 2021 work, “Foot Placement Prediction for Assistive Walking by Fusing Sequential 3D Gaze and Environmental Context” (28 citations), Liu pioneered a method that integrates sequential 3D gaze data with environmental context to predict foot placement on rough terrains—a significant advance over prior studies limited to structured surfaces. This work addresses a critical gap in assistive robotics, where unpredictable terrain often hinders safe and intuitive control. By fusing gaze and environmental cues, Liu’s approach enables more responsive and context-aware robotic support, directly improving user mobility and safety. His research has been recognized for its practical implications in rehabilitation and elderly care, and he continues to push the boundaries of intent prediction for real-world assistive applications.
Research Focus
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Top Papers
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