Yuhao Du

Papers

Total Citations

H-Index

About

Yuhao Du is a researcher whose work sits at the intersection of robotics, computer vision, and intelligent manufacturing. His primary research focuses on vision-guided robotic systems, with a particular emphasis on monocular vision positioning and camera calibration—critical technologies for enabling robots to perceive and interact with their environments autonomously. Du's most cited work, "An Integrated Camera Parameters Calibration Approach for Robotic Monocular Vision Guidance" (2019, 4 citations), addresses a fundamental challenge in industrial robotics: accurately determining a robot's position and orientation using optical sensors. His integrated calibration method improves the precision of monocular vision systems, which are essential for tasks ranging from automated assembly to quality inspection. While his citation count reflects the specialized, emerging nature of his field, Du's contributions are notable for their practical impact on real-world robotic applications. His research bridges the gap between theoretical calibration models and industrial deployment, making him a promising voice in the advancement of vision-based automation.