Zirui Miao
Papers
1
Total Citations
2
H-Index
1
About
Zirui Miao is a researcher at the intersection of robotics, computer vision, and sports engineering, with a focus on developing intelligent systems for athletic training. His most-cited work, "Mobile Robot Self-localization and Table Tennis Detection Via RGB-D Camera and YOLOv8" (2023), introduces a novel approach to autonomous ball-picking robots that combines RGB-D camera-based self-localization with YOLOv8 object detection. This contribution directly addresses a practical challenge in table tennis training: reducing player fatigue and improving practice efficiency by automating ball retrieval. While his citation count is currently modest at 2, the work demonstrates significant potential for impact in both robotics and sports technology. Miao's research bridges the gap between advanced computer vision algorithms and real-world sports applications, offering a scalable solution that could be adapted to other ball sports. His work represents an important step toward more autonomous and intelligent training assistants, highlighting how deep learning and robotic perception can enhance athletic performance and reduce physical strain on players.
Research Focus
Key Achievements
Top Papers
- 1