Jiahui Song

Wentworth Institute of Technology

Papers

1

Total Citations

2

H-Index

1

About

Jiahui Song is a dedicated educator and researcher in robotics and engineering education, with a particular focus on integrating hands-on, vision-based projects into undergraduate curricula. Her most-cited work, "Inclusion of a Visual Servoing Project into an Undergraduate Robotic Course" (2019), demonstrates her commitment to bridging theory and practice. In this paper, Song details how she enhanced a standard VEX robot platform by incorporating a Raspberry Pi and camera module, enabling students to implement real-time visual servoing—a core concept in modern robotics. This project not only deepened students' understanding of control systems and computer vision but also provided a scalable, low-cost model for other institutions. While her citation count is modest, the work’s impact lies in its pedagogical innovation and accessibility, offering a template for engaging undergraduates in advanced robotic topics. Song’s contributions highlight her skill in designing educational tools that make complex engineering concepts tangible, preparing students for careers in automation, AI, and robotics. Her research underscores the importance of experiential learning in STEM, and her project-based approach continues to inspire curriculum development in undergraduate engineering programs.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Inclusion of a Visual Servoing Project into an Undergraduate Robotic Course
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Wentworth Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago