Hongwei Fang
Papers
3
Total Citations
93
H-Index
2
About
Hongwei Fang is a leading researcher in the field of mobile robotics, with a specific focus on the modeling and intelligent control of specialized wheeled platforms operating in challenging industrial environments. His core contributions center on the development of advanced trajectory tracking control systems for magnetic wheeled mobile robots (MWMRs) and Mecanum-wheel cambered mobile robots (MWCMRs). Fang’s work is distinguished by its integration of adaptive dynamic programming and improved dual-heuristic dynamic programming to achieve robust, precise motion control in highly non-linear and constrained settings, such as wall-climbing for industrial inspection and navigation within Gas Insulated Switchgear (GIS) cavities. His most influential paper, "Modeling and Trajectory Tracking Control for Magnetic Wheeled Mobile Robots Based on Improved Dual-Heuristic Dynamic Programming" (2020), has garnered 61 citations, underscoring its impact on the field. This foundational work, along with his subsequent study on robust tracking control (30 citations), establishes Fang as a key figure in advancing the autonomy and reliability of mobile robots for critical, real-world applications.
Research Focus
Key Achievements
Top Papers
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