Zhengjie Cui

Hunan University of Science and Technology

Papers

Total Citations

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About

Zhengjie Cui is a robotics researcher specializing in the control and optimization of redundant parallel robots, with a particular focus on 4-DOF systems operating under high-speed and variable-load conditions. Their work addresses critical challenges in robotic precision and stability, notably through the development of a high-precision hybrid torque control algorithm that combines torque feedforward with fuzzy computational torque feedback to mitigate impact and chattering effects. This contribution, published in 2023, has already garnered 9 citations, reflecting its relevance to advancing real-time robotic performance. Cui has also made significant strides in trajectory optimization, introducing a 12-phase sine jerk motion profile for joint-space trajectory planning that enhances motion accuracy and operational efficiency. This earlier work, also with 9 citations, demonstrates a sustained focus on improving the dynamic behavior of redundant parallel robots. By tackling both control and trajectory challenges, Zhengjie Cui’s research offers practical solutions for industrial automation and high-speed manipulation, making their contributions valuable for engineers and researchers working on advanced robotic systems.