Zheng Ng
Papers
3
Total Citations
8
H-Index
2
About
Zheng Ng is a researcher specializing in embedded systems, robotics, and field-programmable gate array (FPGA) hardware design, with a particular focus on autonomous navigation and tracking systems for mobile and aerial robots. Working primarily in 2016, Ng has contributed to the development of FPGA-accelerated platforms that enhance the computational performance of robotic systems operating without human intervention. Their research addresses critical challenges in robotics including real-time obstacle detection, localization, and intelligent path planning — capabilities essential for both ground-based and flying autonomous robots. Ng's most notable contributions include investigations into embedded auto-navigation systems for wheeled robots and unmanned aerial vehicles, as well as active robot tracking systems with potential applications in security and military domains. By leveraging FPGA architectures, their work seeks to overcome the processing limitations of conventional embedded platforms, enabling more responsive and reliable autonomous behavior. Although Ng's citation counts remain modest — with their leading paper accumulating 4 citations — this body of work represents a focused and technically rigorous contribution to the intersection of hardware design and intelligent robotics, offering a valuable foundation for researchers pursuing high-performance embedded autonomous systems.
Research Focus
Key Achievements
Top Papers
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