Chuangchuang Cui
Papers
3
Total Citations
20
H-Index
3
About
Chuangchuang Cui is a robotics researcher whose work focuses on the critical intersection of path planning, trajectory tracking, and advanced control for robotic manipulators. His primary research areas include motion planning for multi-degree-of-freedom robotic arms and high-speed parallel robots, with a particular emphasis on overcoming real-world challenges like obstacle avoidance and dynamic uncertainties. Cui's major contributions are evident in his development of a novel BiRRT-APF algorithm for 5-DOF arms, which intelligently merges sampling-based planning with artificial potential fields to achieve efficient, collision-free paths. He has also pioneered an open-closed-loop iterative learning control strategy for 4-DOF parallel robots, significantly enhancing trajectory precision despite modeling errors. Further advancing the field, Cui introduced a fuzzy-based super-twist sliding mode controller, a robust solution for suppressing chattering and improving tracking accuracy in pick-and-place (PnP) applications. With his most cited paper garnering 10 citations, his work is gaining traction among researchers tackling practical control and planning bottlenecks. Cui’s contributions are particularly notable for their direct applicability to high-speed automation and industrial robotics, marking him as a promising voice in intelligent robotic control.
Research Focus
Key Achievements
Top Papers
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