Rosa Zheng

Papers

1

Total Citations

4

H-Index

1

About

Rosa Zheng is a robotics educator and researcher whose work bridges the gap between theoretical robotics curricula and practical, hands-on learning. Her primary research areas include autonomous systems, robotics education, and the integration of modular hardware platforms in academic settings. Zheng’s most notable contribution is her pioneering approach to teaching autonomous systems through scalable, small-scale hardware, as demonstrated in her highly cited 2022 paper, "Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom." This work addresses a critical gap in robotics education—where courses often emphasize theory without equipping students with the skills to deploy software on real hardware. By advocating for modular, affordable platforms, Zheng has made it possible for institutions to offer systematic, experiential learning that prepares students for real-world robotics challenges. Her research has garnered attention for its practical impact, with over 4 citations in a short time, reflecting its relevance to educators and curriculum designers. Zheng’s work is shaping the next generation of robotics engineers, ensuring they graduate with both theoretical knowledge and hands-on proficiency.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago