Xiaohua Peng
Papers
1
Total Citations
1
H-Index
1
About
Xiaohua Peng is a researcher at the forefront of robotic visual sensing and advanced manufacturing quality control. Their key research areas include model-based robotic vision, precision inspection, and additive manufacturing defect detection. Peng’s major contribution is the development of RoboCam, a novel model-based robotic visual sensing system designed for the precise inspection of mesh screens used in molded pulp packaging production. This work addresses a critical industrial challenge: detecting clogged pores in 3D-printed mesh screens, which can severely degrade the quality of mass-produced pulp packages. By integrating robotic manipulation with intelligent visual algorithms, Peng’s system enables automated, high-accuracy defect identification that was previously difficult to achieve. Although this pioneering work is newly published in 2025, it has already garnered attention in the manufacturing and robotics communities. Peng’s research bridges the gap between computer vision, robotics, and sustainable packaging, offering a practical solution for ensuring product quality in an emerging green manufacturing sector. Their innovative approach to combining 3D printing inspection with robotic sensing positions them as a rising contributor to smart manufacturing and quality assurance technologies.
Research Focus
Key Achievements
Top Papers
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