Fengjie Yee
Papers
3
Total Citations
8
H-Index
2
About
Fengjie Yee is a researcher specializing in embedded systems, robotics, and FPGA-based implementation, with a focused research portfolio centered on autonomous navigation and intelligent tracking systems. Working primarily within the domain of mobile and aerial robotics, Yee has contributed to the development of high-performance embedded solutions that enable robots to operate independently without human intervention. His most notable work explores the enhancement of auto-navigation systems for both ground-based and flying robots using Field-Programmable Gate Array (FPGA) technology, leveraging its parallel processing capabilities to improve system responsiveness and computational efficiency. Yee has also investigated active robot tracking systems with potential applications in security and military contexts, addressing the practical challenges of real-time localization and obstacle detection. His 2016 publication on flying robot auto-navigation is particularly noteworthy, tackling the heightened complexity of autonomous aerial navigation, including intelligent path planning and positional awareness. With a combined citation count across his key works, Yee's research contributes to the growing body of knowledge supporting smarter, faster, and more reliable autonomous robotic platforms in real-world environments.
Research Focus
Key Achievements
Top Papers
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