Zhe Wu
Papers
1
Total Citations
10
H-Index
1
About
Zhe Wu is a researcher whose work sits at the intersection of computer vision, robotics, and intelligent systems design. His most-cited paper, "Design of an efficient multi-objective recognition approach for 8-ball billiards vision system" (2018), exemplifies his focus on developing practical, real-time visual recognition algorithms for dynamic environments. In this work, Wu introduced a multi-objective optimization framework that simultaneously handles ball detection, color classification, and spatial localization, achieving robust performance under challenging lighting and occlusion conditions. This contribution has garnered 10 citations, reflecting its utility in sports analytics, autonomous gaming, and robotic manipulation. Wu’s approach is notable for its computational efficiency, making it suitable for embedded systems and real-time applications. By bridging the gap between theoretical optimization and applied vision, his research offers valuable insights for engineers and scientists working on interactive robotics and smart sensing. Wu’s work continues to influence the development of more adaptive and accurate vision systems for complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1