Huazhen Zhang

Korea University, Xiamen University of Technology

Papers

Total Citations

H-Index

About

Huazhen Zhang’s research lies at the intersection of robotics, motion control, and intelligent perception, with a focus on enabling autonomous systems to navigate and interact with dynamic environments. One of Zhang’s most significant contributions is the development of an ego-motion-compensated object recognition framework using type-2 fuzzy sets for moving robots. This work, which has garnered 10 citations, addresses a critical challenge in robotics: how to accurately identify objects while a robot is in motion, thereby enhancing real-time decision-making and environmental awareness. By leveraging the uncertainty-handling capabilities of type-2 fuzzy logic, Zhang’s approach improves robustness in noisy or unpredictable conditions, a key advancement for mobile robotics. Additionally, Zhang has contributed to the practical design of motion control systems, exemplified by a 2017 paper on a DSP-based robot car control system using the TMS320f2811 chip. This work, with 3 citations, details both hardware and software implementations, bridging theoretical control algorithms with embedded system design. Through these efforts, Zhang has demonstrated a commitment to advancing autonomous navigation and intelligent control, laying groundwork for more adaptive and reliable robotic systems.