Xi Cheng
Papers
1
Total Citations
40
H-Index
1
About
Xi Cheng is a researcher whose work has made meaningful contributions to the field of robotics and intelligent control systems. Their most recognized contribution, the 2003 paper "Neural Network Based Tracking Control of a Flexible Macro–Micro Manipulator System," has garnered 40 citations, reflecting steady influence within the robotics engineering community. This work sits at the intersection of neural network methodologies and advanced manipulator control, addressing the challenging problem of precise motion tracking in flexible robotic systems — a topic of significant practical importance in manufacturing, medical robotics, and space applications. Cheng's research demonstrates a commitment to applying machine learning-inspired techniques, particularly neural networks, to solve complex dynamic control problems where traditional analytical methods fall short. The macro–micro manipulator framework explored in their work is especially relevant for tasks requiring both large-scale movement and fine-grained precision, a duality that presents considerable engineering challenges. While Cheng's citation profile reflects a focused body of work, their contributions to neural network-based robotic control offer valuable insights for students and researchers exploring intelligent systems, adaptive control, and flexible robotics — foundational areas that continue to grow in relevance across modern engineering disciplines.
Research Focus
Key Achievements
Top Papers
- 1