Xinyang Tang
Papers
1
Total Citations
4
H-Index
1
About
Xinyang Tang is a researcher in robotics and computer vision, with a focus on real-time tracking and control systems for competitive robotics. Their most notable contribution is the development of a high-speed tracking and control system for the RoboMaster competition robot, as detailed in their 2020 paper. By fusing traditional computer vision techniques with neural network methods, Tang achieved object detection at over 100 frames per second, enabling robust auto-aiming and shooting in dynamic environments. This work demonstrates a practical integration of speed and accuracy, addressing key challenges in autonomous robotic targeting. With 4 citations, this paper has influenced subsequent work in competition robotics and real-time vision systems, showcasing Tang’s ability to bridge theoretical methods with applied engineering. Their research is particularly relevant for students and engineers interested in embedded vision, robotic autonomy, and the intersection of classical and deep learning approaches for high-performance systems.
Research Focus
Key Achievements
Top Papers
- 1