Xiang Zeng
Papers
3
Total Citations
47
H-Index
3
About
Xiang Zeng is a leading researcher in the design and control of advanced robotic systems, with a primary focus on parallel mechanisms and their surgical and industrial applications. His work centers on enhancing the performance of parallel robots through kinematic redundancy, trajectory optimization, and singularity analysis. A major contribution is his development of a kinematically redundant parallel mechanism for fracture reduction surgery, which addresses the critical need for precise, minimally invasive manipulation in orthopedics. To improve industrial automation, Zeng pioneered the use of Pythagorean-Hodograph (PH) curves for trajectory planning in Delta robots, enabling smoother, more flexible pick-and-place operations with prescribed heights. His research also includes the design, analysis, and optimization of a novel kinematically redundant parallel robot, overcoming the traditional limitations of the Gough–Stewart platform, such as small workspace and complex singularities. With his most-cited paper garnering 27 citations, Zeng’s work is gaining recognition for its practical impact on surgical robotics and high-speed automation, demonstrating a clear trajectory toward safer, more efficient robotic systems.
Research Focus
Key Achievements
Top Papers
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