Zujia Zheng

Wuhan University of Science and Technology

Papers

Total Citations

H-Index

About

Zujia Zheng’s research focuses on robotic manipulation and trajectory planning, with a particular emphasis on improving the smoothness and precision of industrial robot motion. Their major contribution lies in addressing the problem of joint acceleration discontinuities inherent in cubic polynomial trajectory planning algorithms. By rigorously studying and implementing quintic polynomial trajectory planning for 6-DOF manipulators, Zheng demonstrated how higher-order polynomials can eliminate acceleration mutations, thereby reducing mechanical wear and enhancing control stability—a critical advancement for precision manufacturing and automation. Although their most-cited work, “Trajectory planning algorithm and simulation of 6-DOF manipulator” (2018), has accumulated 6 citations, the research provides foundational insights into the trade-offs between computational complexity and motion quality. This work serves as a practical reference for engineers and researchers developing smoother, more reliable robotic systems. Zheng’s contributions underscore the importance of algorithmic refinement in real-world robotics, offering a clear pathway for optimizing manipulator performance in industrial applications.