Papers
11
Total Citations
181
H-Index
6
About
Jiahui Yu is a prolific researcher specializing in human-robot interaction, computer vision, and autonomous robotics systems. His work sits at the intersection of deep learning and robotics, with a particular focus on enabling intelligent perception and interaction in complex and constrained environments, including space robotics applications. Yu's most impactful contributions center on advancing object and hand detection in human-robot interaction scenarios. His deep temporal model for identity-aware hand detection (43 citations) and his attentional spatiotemporal LSTM-based object detector (34 citations) tackle critical challenges in small-object recognition and temporal feature modeling, particularly for space human-robot interaction. Complementing this, his discriminative deep model for human action recognition (42 citations) addresses the difficulty of distinguishing prolonged and visually similar activities, earning widespread recognition in the field. Beyond perception, Yu has made meaningful contributions to autonomous navigation, developing a 2D LiDAR-based indoor mobile robot navigation system (28 citations) and smooth path planning algorithms for unknown environments. His broader portfolio spans gesture-based interaction systems, facial expression recognition for rehabilitation robotics, and motor optimization for space robots, reflecting a versatile research vision aimed at making robots more perceptive, responsive, and practically deployable across real-world domains.
Research Focus
Key Achievements
Top Papers
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- 4Autonomous Navigation System of Indoor Mobile Robots Using 2D Lidar28 citations · 2023
- 5Smooth Path Planning for Robot Docking in Unknown Environment with Obstacles13 citations · 2018
- 6A Multi-sensor Gesture Interaction System for Human-robot Cooperation6 citations · 2021
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