Papers
2
Total Citations
6
H-Index
2
About
Zhiwei Shi is a pioneering researcher at the intersection of robotics, computer vision, and sports engineering, with a focused expertise in developing real-time intelligent systems for badminton. His major contributions center on creating autonomous robots capable of competing with humans in fast-paced rally scenarios, addressing the immense challenge of tracking a small, high-speed shuttlecock against complex backgrounds. Shi’s notable work includes the "MV-BMR" system, an agile badminton robot that integrates motion and vision sensing for real-time response, and the "YO-CSA-T" tracking framework, which enhances YOLO-based detection with contextual and spatial attention mechanisms to achieve high-accuracy 3D trajectory prediction. Despite being recently published, these papers have already garnered 3 citations each, signaling growing impact in the field. Shi’s research pushes the boundaries of human-robot interaction and real-time visual tracking, offering foundational insights for students and researchers interested in applying deep learning and sensor fusion to dynamic, real-world sports robotics.
Research Focus
Key Achievements
Top Papers
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- 2