Ni Cao

Northwestern Polytechnical University

Papers

1

Total Citations

2

H-Index

1

About

Ni Cao 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. Her 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—a dangerous and precise task traditionally performed by humans. This work, published in 2019, addresses critical challenges in robot navigation and positioning within high-risk environments, offering a safer alternative to manual labor. By enabling robots to accurately determine their spatial orientation using a single camera, Cao’s research advances the practical deployment of autonomous systems in explosive or toxic settings. While her citation count is currently modest, the specialized and safety-critical nature of her work underscores its potential for long-term impact in aerospace manufacturing and defense industries. Her contributions highlight a growing trend toward integrating computer vision with robotics to solve real-world industrial problems, making her a promising voice in the field of intelligent automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Monocular Vision-Based Pose Measurement Algorithm for Robotic Scraping System of Residual Propellant
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Northwestern Polytechnical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago