Papers
1
Total Citations
2
H-Index
1
About
Zheng Pei is a researcher whose work lies at the intersection of robotics, computer vision, and aerospace engineering, with a particular focus on automated systems for hazardous material handling. His key research areas include monocular vision-based pose estimation, robotic manipulation in high-risk environments, and precision measurement algorithms for industrial applications. Pei’s most notable contribution is the development of a monocular vision-based pose measurement algorithm for robotic scraping systems designed to remove residual solid rocket propellant from mixing blades—a dangerous task traditionally performed by humans. This work, published in 2019, addresses critical safety and precision challenges in aerospace manufacturing. While his citation count currently stands at 2 for this specific paper, the work represents an important step toward automating high-risk industrial processes, potentially reducing human exposure to explosive materials. Pei’s research bridges the gap between theoretical computer vision techniques and practical robotic applications in extreme environments, demonstrating how pose estimation algorithms can enable robots to navigate and operate effectively in confined, hazardous spaces where traditional sensing methods may fail.
Research Focus
Key Achievements
Top Papers
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