Papers
1
Total Citations
3
H-Index
1
About
Yanqi Niu is a researcher focused on intelligent robotics and adaptive control systems, with particular expertise in parallel robot dynamics and fuzzy logic control for industrial applications. Their most cited work, "Fuzzy adaptive control of coal gangue sorting parallel robot with variable load" (2024), addresses a critical challenge in high-speed sorting industries: maintaining precision under unpredictable, heavy loads. Niu's research bridges the gap between traditional kinematic planning—which assumes constant, light loads—and the real-world demands of gangue sorting, where load mass varies randomly. By integrating fuzzy adaptive control, they enable Delta parallel robots to dynamically compensate for disturbances, significantly improving sorting accuracy and operational robustness. This contribution has already garnered 3 citations in its early publication stage, signaling growing recognition in the field. Niu's work is particularly notable for its practical impact on mining and waste sorting automation, where variable loads have long been a bottleneck. Their research not only advances control theory but also offers scalable solutions for heavy-duty industrial robotics, making them a rising voice in adaptive automation and intelligent manufacturing systems.
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