Yuxing Feng
Papers
2
Total Citations
5
H-Index
1
About
Yuxing Feng is a researcher specializing in industrial robotics, laser vision systems, and automated welding technologies. Their work focuses on enhancing the precision and efficiency of robotic manipulation in manufacturing environments, particularly through advanced calibration and path-tracking methods. Feng’s most cited paper, "Position-Constrained Calibration Compensation for Hand–Eye Calibration in Industrial Robots" (2024, 4 citations), introduces a novel algorithm that optimizes the hand-eye calibration of laser profilers and robots, significantly improving accuracy in welding applications. This contribution addresses a critical bottleneck in industrial automation. Another notable work, "A novel laser vision-based robotic welding path extraction and tracking method for intersecting curves" (2025, 1 citation), presents an innovative approach to real-time path extraction for complex weld seams, demonstrating potential for advancing autonomous robotic welding. While early in their career, Feng’s research has already garnered attention for its practical impact on manufacturing efficiency and precision. Their work bridges the gap between theoretical calibration models and real-world industrial applications, offering solutions that reduce errors and enhance productivity. Feng’s contributions are particularly relevant for researchers and engineers seeking to improve robotic vision systems in high-stakes industrial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2