Papers
1
Total Citations
9
H-Index
1
About
Zhenyu Fu is a researcher in mobile robotics and computer vision, with a focus on real-time robot localization and visual tracking. His most cited work, "A new way to detect the position and orientation of the wheeled mobile robot on the image plane" (2014), introduces an innovative method that uses a black rectangular marker attached to the robot to simultaneously determine its position and orientation on the image plane. By employing the CAMShift algorithm for tracking, Fu’s approach enables robust, marker-based pose estimation without complex calibration, offering a practical solution for autonomous navigation in controlled environments. With 9 citations, this paper has provided a foundation for subsequent studies in visual servoing and mobile robot control. Fu’s contributions are particularly valuable for students and researchers working on low-cost, vision-based robot guidance systems, as his method balances simplicity with accuracy. His work highlights the potential of combining classical tracking algorithms with clever marker design to solve real-world localization challenges in wheeled robotics.
Research Focus
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Top Papers
- 1