Xiujuan Bao
Papers
1
Total Citations
6
H-Index
1
About
Xiujuan Bao is a researcher whose work bridges robotics, artificial intelligence, and engineering education, with a particular focus on intelligent manufacturing and machine vision systems. Her most cited paper, "Robot intelligent grasping experimental platform combining Jetson NANO and machine vision" (2022), has garnered 6 citations and exemplifies her contribution to developing accessible, hands-on platforms for experimental teaching. In this work, she designed a robot grasping system using the Jetson NANO controller and Google’s open-source machine learning frameworks, enabling real-time visual recognition and automated object manipulation. This platform not only advances practical applications in industrial robotics but also serves as a valuable educational tool for students learning intelligent manufacturing. Bao’s research is characterized by its integration of low-cost, high-performance hardware with cutting-edge vision algorithms, making complex robotic systems more approachable for academic and training environments. Her work highlights the importance of bridging theoretical AI concepts with tangible, real-world experimentation, positioning her as a contributor to the growing field of applied robotics in education.
Research Focus
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Top Papers
- 1