Yubiao Wang
Papers
1
Total Citations
8
H-Index
1
About
Yubiao Wang is a researcher specializing in robotics, control systems, and computer vision, with a particular focus on precision tracking and autonomous target engagement. His most notable contribution is the development of a novel, low-cost laser beam tracking mechanism for mobile target robots used in shooting ranges. By integrating a Linear Quadratic Regulator (LQR) method with vision-based feedback, Wang’s work enables highly accurate and flexible real-time tracking of moving targets, offering a significant improvement over traditional, more expensive tracking modules. This research, published in 2020 and garnering 8 citations, demonstrates his ability to bridge theoretical control theory with practical mechatronic design. Wang’s contributions are particularly valuable for defense training and industrial automation, where cost-effective, high-precision tracking is essential. His work stands out for its innovative combination of mechanical simplicity and robust control, making advanced tracking accessible for a wider range of applications.
Research Focus
Key Achievements
Top Papers
- 1