Papers
10
Total Citations
126
H-Index
6
About
Fangfang Dong is a leading researcher in robotics and control systems, with a focus on robot machining, mobile robotics, and wearable exoskeletons. Her work addresses critical challenges in precision and adaptability, particularly for complex environments like manufacturing and human augmentation. Dong’s major contributions include developing joint-smooth toolpath planning for robot surface machining, which enhances efficiency and accuracy by optimizing differential vectors under tool orientation constraints—a key advancement for machining 3D-printed parts. She has also pioneered adaptive robust constraint-following control for omnidirectional mobile robots and underactuated hydraulic exoskeletons, using the Udwadia-Kalaba approach to handle uncertainties from initial conditions, disturbances, and varying loads. Her papers have garnered significant attention, with top works like “Joint-Smooth Toolpath Planning” (33 citations) and “Adaptive Robust Constraint Following Control” (27 citations) highlighting her impact. Notable achievements include optimal design of adaptive robust control for redundantly actuated parallel robots and fuzzy swarm systems, as well as cooperative modeling for dual-robot mirror milling. Dong’s research extends to nuclear robot standardization, ensuring safety and efficiency in hazardous environments. Her innovative control strategies and practical applications make her a pivotal figure in advancing robotic autonomy and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 5Optimal Design of Adaptive Robust Control for Fuzzy Swarm Robot Systems14 citations · 2019
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- 9Research on standardization of nuclear robots1 citations · 2025
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